From 363a940752fd05155e74cd650fb2aedae6375eb4 Mon Sep 17 00:00:00 2001 From: Emilka Date: Wed, 4 Apr 2018 21:24:37 +0200 Subject: [PATCH 1/2] Removed unused files --- data/error_test/0/case.lexicon | 47 - data/error_test/0/ideology.lexicon | 40 - data/error_test/0/lincoln.lexicon | 30 - data/error_test/0/merkelleader.lexicon | 45 - data/error_test/0/utterances.txt | 25 - data/error_test/1/Brad_Pitt.lexicon | 15 - data/error_test/1/actor.lexicon | 35 - data/error_test/1/kate-winslet-spouse.lexicon | 31 - data/error_test/1/owner.lexicon | 57 - data/error_test/1/utterances.txt | 25 - data/error_test/2/author.lexicon | 47 - data/error_test/2/brain.lexicon | 26 - data/error_test/2/einstein.lexicon | 17 - data/error_test/2/tesla-birthplace.lexicon | 45 - data/error_test/2/utterances.txt | 24 - data/error_test/3/architect.lexicon | 44 - data/error_test/3/governor.lexicon | 34 - data/error_test/3/munich.lexicon | 38 - data/error_test/3/renzo-work.lexicon | 10 - data/error_test/3/utterances.txt | 26 - data/error_test/4/cartoon.lexicon | 44 - data/error_test/4/cinderella-author | 55 - data/error_test/4/founder.lexicon | 42 - data/error_test/4/pixar.lexicon | 39 - data/error_test/4/utterances.txt | 26 - data/error_test/5/audi.lexicon | 33 - data/error_test/5/device.lexicon | 30 - data/error_test/5/owner.lexicon | 63 - .../error_test/5/siemens-headquarters.lexicon | 75 - data/error_test/5/utterances.txt | 26 - data/error_test/6/language-russia.lexicon | 91 - data/error_test/6/poland.lexicon | 25 - data/error_test/6/president.lexicon | 52 - data/error_test/6/state.lexicon | 44 - data/error_test/6/utterances.txt | 26 - data/error_test/7/berlin.lexicon | 35 - data/error_test/7/monaco-king.lexicon | 52 - data/error_test/7/prince.lexicon | 42 - data/error_test/7/utterances.txt | 26 - data/error_test/7/village.lexicon | 47 - data/error_test/8/chess.lexicon | 31 - data/error_test/8/fifa-pres.lexicon | 85 - data/error_test/8/owner.lexicon | 57 - data/error_test/8/sport.lexicon | 48 - data/error_test/8/utterances.txt | 26 - data/error_test/9/angela-spouse.txt | 36 - data/error_test/9/play.txt | 38 - data/error_test/9/quentin.txt | 21 - data/error_test/9/sibling.txt | 36 - data/error_test/9/utterances.txt | 26 - data/error_test/Entities.txt | 4990 ++++++++++++++ data/error_test/dbLexicon.txt | 0 data/error_test/entities.json | 502 ++ data/error_test/entities/Band.txt | 50 + data/error_test/entities/Device.txt | 50 + data/error_test/entities/Disease.txt | 50 + data/error_test/entities/Language.txt | 50 + data/error_test/entities/Person.txt | 50 + data/error_test/entities/Place.txt | 50 + data/error_test/entities/PoliticalParty.txt | 50 + data/error_test/entities/Species.txt | 50 + data/error_test/entities/Sport.txt | 50 + data/error_test/entities/VideoGame.txt | 50 + data/error_test/entities1.json | 102 + data/error_test/lbLexicon.txt | 0 data/error_test/logEntities.txt | 1942 ++++++ data/error_test/mcgLexicon.txt | 0 data/error_test/newLexicon.txt | 5889 +++++++++++++++++ data/error_test/overall.json | 302 + data/error_test/process-data.py | 23 + data/error_test/relations.json | 201 + data/error_test/relations/dataProp.txt | 100 + data/error_test/relations/objProp.txt | 100 + data/error_test/relations1.json | 101 + data/error_test/terms.json | 302 + data/error_test/terms/class.txt | 300 + data/error_test/terms1.json | 102 + data/error_test/w2vLexicon.txt | 0 pom.xml | 4 +- resources/lexicons/roboy-demo.lexicon | 1 + resources/roboy-final.grammar | 14 +- resources/roboy-value.grammar | 256 + .../java/edu/stanford/nlp/sempre/Example.java | 1 - .../edu/stanford/nlp/sempre/OpenTypeFn.java | 2 +- .../nlp/sempre/roboy/BuildCanonicalIdMap.java | 146 - .../nlp/sempre/roboy/BuildTypesMap.java | 64 - .../sempre/roboy/CanonicalizeExamples.java | 83 - .../nlp/sempre/roboy/CanonicalizeIds.java | 80 - .../nlp/sempre/roboy/DatabaseInfo.java | 101 - .../nlp/sempre/roboy/DatabaseSearch.java | 165 - .../stanford/nlp/sempre/roboy/ErrorInfo.java | 142 - .../nlp/sempre/roboy/ErrorRetrieval.java | 77 +- .../nlp/sempre/roboy/ExecuteExamples.java | 84 - .../nlp/sempre/roboy/FreebaseTypeLookup.java | 64 - .../sempre/roboy/LambdaCalculusConverter.java | 552 -- .../nlp/sempre/roboy/LexiconGenerator.java | 16 +- ...nspecInfo.java => UnderspecifiedInfo.java} | 11 +- .../nlp/sempre/roboy/error/ContextHelper.java | 25 - .../sempre/roboy/error/EntityRetriever.java | 15 +- .../nlp/sempre/roboy/error/GeneralHelper.java | 16 - .../roboy/error/KnowledgeRetriever.java | 4 +- .../sempre/roboy/error/LabelRetriever.java | 11 +- .../nlp/sempre/roboy/error/MCGRetriever.java | 13 +- .../sempre/roboy/error/Word2VecRetriever.java | 12 +- .../nlp/sempre/roboy/score/ContextScore.java | 12 +- .../sempre/roboy/score/ProbabilityScore.java | 8 +- .../sempre/roboy/score/ScoringFunction.java | 13 +- .../sempre/roboy/score/SimilarityScore.java | 8 +- .../nlp/sempre/roboy/score/Word2VecScore.java | 41 +- .../sempre/roboy/utils/CollectionUtils.java | 25 - .../sempre/roboy/utils/DoubleContainer.java | 34 - .../sempre/roboy/utils/FbFormatConverter.java | 82 - .../nlp/sempre/roboy/utils/FreebaseUtils.java | 180 - .../utils/LinkedExtractionFileUtils.java | 110 - .../nlp/sempre/roboy/utils/MathUtils.java | 202 - .../sempre/roboy/utils/SemparseLogTools.java | 261 - .../sempre/roboy/utils/ShortContainer.java | 28 - .../nlp/sempre/roboy/utils/Tester.java | 3 +- .../nlp/sempre/roboy/utils/WnExpander.java | 147 - .../nlp/sempre/roboy/utils/WordNet.java | 982 --- 120 files changed, 15821 insertions(+), 5668 deletions(-) delete mode 100644 data/error_test/0/case.lexicon delete mode 100644 data/error_test/0/ideology.lexicon delete mode 100644 data/error_test/0/lincoln.lexicon delete mode 100644 data/error_test/0/merkelleader.lexicon delete mode 100644 data/error_test/0/utterances.txt delete mode 100644 data/error_test/1/Brad_Pitt.lexicon delete mode 100644 data/error_test/1/actor.lexicon delete mode 100644 data/error_test/1/kate-winslet-spouse.lexicon delete mode 100644 data/error_test/1/owner.lexicon delete mode 100644 data/error_test/1/utterances.txt delete mode 100644 data/error_test/2/author.lexicon delete mode 100644 data/error_test/2/brain.lexicon delete mode 100644 data/error_test/2/einstein.lexicon delete mode 100644 data/error_test/2/tesla-birthplace.lexicon delete mode 100644 data/error_test/2/utterances.txt delete mode 100644 data/error_test/3/architect.lexicon delete mode 100644 data/error_test/3/governor.lexicon delete mode 100644 data/error_test/3/munich.lexicon delete mode 100644 data/error_test/3/renzo-work.lexicon delete mode 100644 data/error_test/3/utterances.txt delete mode 100644 data/error_test/4/cartoon.lexicon delete mode 100644 data/error_test/4/cinderella-author delete mode 100644 data/error_test/4/founder.lexicon delete mode 100644 data/error_test/4/pixar.lexicon delete mode 100644 data/error_test/4/utterances.txt delete mode 100644 data/error_test/5/audi.lexicon delete mode 100644 data/error_test/5/device.lexicon delete mode 100644 data/error_test/5/owner.lexicon delete mode 100644 data/error_test/5/siemens-headquarters.lexicon delete mode 100644 data/error_test/5/utterances.txt delete mode 100644 data/error_test/6/language-russia.lexicon delete mode 100644 data/error_test/6/poland.lexicon delete mode 100644 data/error_test/6/president.lexicon delete mode 100644 data/error_test/6/state.lexicon delete mode 100644 data/error_test/6/utterances.txt delete mode 100644 data/error_test/7/berlin.lexicon delete mode 100644 data/error_test/7/monaco-king.lexicon delete mode 100644 data/error_test/7/prince.lexicon delete mode 100644 data/error_test/7/utterances.txt delete mode 100644 data/error_test/7/village.lexicon delete mode 100644 data/error_test/8/chess.lexicon delete mode 100644 data/error_test/8/fifa-pres.lexicon delete mode 100644 data/error_test/8/owner.lexicon delete mode 100644 data/error_test/8/sport.lexicon delete mode 100644 data/error_test/8/utterances.txt delete mode 100644 data/error_test/9/angela-spouse.txt delete mode 100644 data/error_test/9/play.txt delete mode 100644 data/error_test/9/quentin.txt delete mode 100644 data/error_test/9/sibling.txt delete mode 100644 data/error_test/9/utterances.txt create mode 100644 data/error_test/Entities.txt create mode 100644 data/error_test/dbLexicon.txt create mode 100644 data/error_test/entities.json create mode 100644 data/error_test/entities/Band.txt create mode 100644 data/error_test/entities/Device.txt create mode 100644 data/error_test/entities/Disease.txt create mode 100644 data/error_test/entities/Language.txt create mode 100644 data/error_test/entities/Person.txt create mode 100644 data/error_test/entities/Place.txt create mode 100644 data/error_test/entities/PoliticalParty.txt create mode 100644 data/error_test/entities/Species.txt create mode 100644 data/error_test/entities/Sport.txt create mode 100644 data/error_test/entities/VideoGame.txt create mode 100644 data/error_test/entities1.json create mode 100644 data/error_test/lbLexicon.txt create mode 100644 data/error_test/logEntities.txt create mode 100644 data/error_test/mcgLexicon.txt create mode 100644 data/error_test/newLexicon.txt create mode 100644 data/error_test/overall.json create mode 100644 data/error_test/process-data.py create mode 100644 data/error_test/relations.json create mode 100644 data/error_test/relations/dataProp.txt create mode 100644 data/error_test/relations/objProp.txt create mode 100644 data/error_test/relations1.json create mode 100644 data/error_test/terms.json create mode 100644 data/error_test/terms/class.txt create mode 100644 data/error_test/terms1.json create mode 100644 data/error_test/w2vLexicon.txt create mode 100644 resources/roboy-value.grammar delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/BuildCanonicalIdMap.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/BuildTypesMap.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeExamples.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeIds.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseSearch.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/ErrorInfo.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/ExecuteExamples.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/FreebaseTypeLookup.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/LambdaCalculusConverter.java rename src/main/java/edu/stanford/nlp/sempre/roboy/{UnspecInfo.java => UnderspecifiedInfo.java} (93%) delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/error/ContextHelper.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/error/GeneralHelper.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/CollectionUtils.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/DoubleContainer.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/FbFormatConverter.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/FreebaseUtils.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/LinkedExtractionFileUtils.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/MathUtils.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/SemparseLogTools.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/ShortContainer.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/WnExpander.java delete mode 100644 src/main/java/edu/stanford/nlp/sempre/roboy/utils/WordNet.java diff --git a/data/error_test/0/case.lexicon b/data/error_test/0/case.lexicon deleted file mode 100644 index d2a3b8b..0000000 --- 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a/data/error_test/9/utterances.txt b/data/error_test/9/utterances.txt deleted file mode 100644 index b1af678..0000000 --- a/data/error_test/9/utterances.txt +++ /dev/null @@ -1,26 +0,0 @@ -1. -utterance: what is quentin tarantino birth name -underspecified term: quentin tarantino -type: entity -result: success - -2. -utterance: what is a play -underspecified term: play -type: type -result: success - -3. -utterance: who is quentin tarantino sibling -underspecified term: sibling -type: relation -result: follow up - -4. -utterance: where is apple headquarters -underspecified term: apple -type: entity -result: failure -underspecified term: headquarters -type: relation -result: failure diff --git a/data/error_test/Entities.txt b/data/error_test/Entities.txt new file mode 100644 index 0000000..15143a4 --- /dev/null +++ b/data/error_test/Entities.txt @@ -0,0 +1,4990 @@ +{"features":" {score:1.5} ","formula":"resource:Abdominal_obesity","lexeme":"abdominal obesity","type":"NamedEntity"} 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{"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list)","lemma_tokens":["Meredith","effect"],"tokens":["meredith","effect"],"parse":"resource:Meredith_Effect","relations":{},"type":"question"} + + +Utterance: Abdominal obesity +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Abdominal_obesity))","lemma_tokens":["abdominal","obesity"],"tokens":["abdominal","obesity"],"parse":"resource:Abdominal_obesity","relations":{},"type":"question"} + + +Utterance: Achondroplasia +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Achondroplasia))","lemma_tokens":["achondroplasia"],"tokens":["achondroplasia"],"parse":"resource:Achondroplasia","relations":{},"type":"question"} + + +Utterance: Acrochordon +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Acrochordon))","lemma_tokens":["acrochordon"],"tokens":["acrochordon"],"parse":"resource:Acrochordon","relations":{},"type":"question"} + + +Utterance: Adrenoleukodystrophy +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Adrenoleukodystrophy))","lemma_tokens":["adrenoleukodystrophy"],"tokens":["adrenoleukodystrophy"],"parse":"resource:Adrenoleukodystrophy","relations":{},"type":"question"} + + +Utterance: Agoraphobia +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Agoraphobia))","lemma_tokens":["agoraphobia"],"tokens":["agoraphobia"],"parse":"resource:Agoraphobia","relations":{},"type":"question"} + + +Utterance: Algal bloom +Response: {"sentiment":"Neutral","postags":["JJ","NNP"],"answer":"(list (name resource:Algal_bloom))","lemma_tokens":["algal","bloom"],"tokens":["algal","bloom"],"parse":"resource:Algal_bloom","relations":{},"type":"question"} + + +Utterance: Allergy +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Allergy))","lemma_tokens":["allergy"],"tokens":["allergy"],"parse":"resource:Allergy","relations":{},"type":"question"} + + +Utterance: Androgen insensitivity syndrome +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Androgen_insensitivity_syndrome))","lemma_tokens":["androgen","insensitivity","syndrome"],"tokens":["androgen","insensitivity","syndrome"],"parse":"resource:Androgen_insensitivity_syndrome","relations":{},"type":"question"} + + +Utterance: Anorexia (symptom) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["anorexia","-lrb-","symptom","-rrb-"],"tokens":["anorexia","-lrb-","symptom","-rrb-"],"parse":"\"OpenEntity\u0027anorexia -lrb- symptom -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Anthrax +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Anthrax))","lemma_tokens":["anthrax"],"tokens":["anthrax"],"parse":"resource:Anthrax","relations":{},"type":"question"} + + +Utterance: Anxiety disorder +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Anxiety_disorder))","lemma_tokens":["anxiety","disorder"],"tokens":["anxiety","disorder"],"parse":"resource:Anxiety_disorder","relations":{},"type":"question"} + + +Utterance: Aperture-to-medium coupling loss +Response: {"sentiment":"Neutral","postags":["NN","TO","NN","NN","NN"],"answer":"(list (name resource:Aperture-to-medium_coupling_loss))","lemma_tokens":["aperture","to","medium","coupling","loss"],"tokens":["aperture","to","medium","coupling","loss"],"parse":"resource:Aperture-to-medium_coupling_loss","relations":{},"type":"question"} + + +Utterance: Apraxia +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Apraxia))","lemma_tokens":["Apraxia"],"tokens":["apraxia"],"parse":"resource:Apraxia","relations":{},"type":"question"} + + +Utterance: Asthma +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Asthma))","lemma_tokens":["asthma"],"tokens":["asthma"],"parse":"resource:Asthma","relations":{},"type":"question"} + + +Utterance: Atmospheric pressure +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Atmospheric_pressure))","lemma_tokens":["atmospheric","pressure"],"tokens":["atmospheric","pressure"],"parse":"resource:Atmospheric_pressure","relations":{},"type":"question"} + + +Utterance: Attenuation +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Attenuation))","lemma_tokens":["attenuation"],"tokens":["attenuation"],"parse":"resource:Attenuation","relations":{},"type":"question"} + + +Utterance: Azotemia +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Azotemia))","lemma_tokens":["azotemia"],"tokens":["azotemia"],"parse":"resource:Azotemia","relations":{},"type":"question"} + + +Utterance: Bell's palsy +Response: {"sentiment":"Neutral","postags":["NNP","POS","NN"],"answer":"(string \"\")","lemma_tokens":["Bell","\u0027s","palsy"],"tokens":["bell","\u0027s","palsy"],"parse":"\"OpenEntity\u0027bell s palsy\u0027\u0027\"","relations":{"(Bell,have,palsy)":1.0},"type":"question"} + + +Utterance: Bi-curious +Response: {"sentiment":"Neutral","postags":["NNP","JJ"],"answer":"(list (name resource:Bi-curious))","lemma_tokens":["Bi","curious"],"tokens":["bi","curious"],"parse":"resource:Bi-curious","relations":{},"type":"question"} + + +Utterance: Biostasis +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Biostasis))","lemma_tokens":["biostasis"],"tokens":["biostasis"],"parse":"resource:Biostasis","relations":{},"type":"question"} + + +Utterance: Bit slip +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Bit_slip))","lemma_tokens":["bit","slip"],"tokens":["bit","slip"],"parse":"resource:Bit_slip","relations":{},"type":"question"} + + +Utterance: Blood pressure +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Blood_pressure))","lemma_tokens":["blood","pressure"],"tokens":["blood","pressure"],"parse":"resource:Blood_pressure","relations":{},"type":"question"} + + +Utterance: Botulism +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Botulism))","lemma_tokens":["Botulism"],"tokens":["botulism"],"parse":"resource:Botulism","relations":{},"type":"question"} + + +Utterance: Brain tumor +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Brain_tumor))","lemma_tokens":["brain","tumor"],"tokens":["brain","tumor"],"parse":"resource:Brain_tumor","relations":{},"type":"question"} + + +Utterance: Canavan disease +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Canavan_disease))","lemma_tokens":["Canavan","disease"],"tokens":["canavan","disease"],"parse":"resource:Canavan_disease","relations":{},"type":"question"} + + +Utterance: Capture effect +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Capture_effect))","lemma_tokens":["capture","effect"],"tokens":["capture","effect"],"parse":"resource:Capture_effect","relations":{},"type":"question"} + + +Utterance: Cardiomyopathy +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Cardiomyopathy))","lemma_tokens":["cardiomyopathy"],"tokens":["cardiomyopathy"],"parse":"resource:Cardiomyopathy","relations":{},"type":"question"} + + +Utterance: Carpal tunnel syndrome +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:Carpal_tunnel_syndrome))","lemma_tokens":["carpal","tunnel","syndrome"],"tokens":["carpal","tunnel","syndrome"],"parse":"resource:Carpal_tunnel_syndrome","relations":{},"type":"question"} + + +Utterance: Cervical cancer +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cervical_cancer))","lemma_tokens":["cervical","cancer"],"tokens":["cervical","cancer"],"parse":"resource:Cervical_cancer","relations":{},"type":"question"} + + +Utterance: Communication disorder +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Communication_disorder))","lemma_tokens":["Communication","disorder"],"tokens":["communication","disorder"],"parse":"resource:Communication_disorder","relations":{},"type":"question"} + + +Utterance: Communications survivability +Response: {"sentiment":"Neutral","postags":["NNS","NN"],"answer":"(list (name resource:Communications_survivability))","lemma_tokens":["communication","survivability"],"tokens":["communications","survivability"],"parse":"resource:Communications_survivability","relations":{},"type":"question"} + + +Utterance: Complex regional pain syndrome +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN","NN"],"answer":"(list (name resource:Complex_regional_pain_syndrome))","lemma_tokens":["complex","regional","pain","syndrome"],"tokens":["complex","regional","pain","syndrome"],"parse":"resource:Complex_regional_pain_syndrome","relations":{},"type":"question"} + + +Utterance: Conformal map +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Conformal_map))","lemma_tokens":["conformal","map"],"tokens":["conformal","map"],"parse":"resource:Conformal_map","relations":{},"type":"question"} + + +Utterance: Conjunctivitis +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Conjunctivitis))","lemma_tokens":["conjunctivitis"],"tokens":["conjunctivitis"],"parse":"resource:Conjunctivitis","relations":{},"type":"question"} + + +Utterance: Convulsion +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Convulsion))","lemma_tokens":["convulsion"],"tokens":["convulsion"],"parse":"resource:Convulsion","relations":{},"type":"question"} + + +Utterance: Counterfactual definiteness +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Counterfactual_definiteness))","lemma_tokens":["counterfactual","definiteness"],"tokens":["counterfactual","definiteness"],"parse":"resource:Counterfactual_definiteness","relations":{},"type":"question"} + + +Utterance: Cowpox +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Cowpox))","lemma_tokens":["cowpox"],"tokens":["cowpox"],"parse":"resource:Cowpox","relations":{},"type":"question"} + + +Utterance: Crop circle +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Crop_circle))","lemma_tokens":["crop","circle"],"tokens":["crop","circle"],"parse":"resource:Crop_circle","relations":{},"type":"question"} + + +Utterance: Cultural bias +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cultural_bias))","lemma_tokens":["cultural","bias"],"tokens":["cultural","bias"],"parse":"resource:Cultural_bias","relations":{},"type":"question"} + + +Utterance: Cystic fibrosis +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cystic_fibrosis))","lemma_tokens":["cystic","fibrosis"],"tokens":["cystic","fibrosis"],"parse":"resource:Cystic_fibrosis","relations":{},"type":"question"} + + +Utterance: Deadweight loss +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Deadweight_loss))","lemma_tokens":["deadweight","loss"],"tokens":["deadweight","loss"],"parse":"resource:Deadweight_loss","relations":{},"type":"question"} + + +Utterance: Dementia +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Dementia))","lemma_tokens":["dementia"],"tokens":["dementia"],"parse":"resource:Dementia","relations":{},"type":"question"} + + +Utterance: Demographics of Venezuela +Response: {"sentiment":"Neutral","postags":["NNS","IN","NNP"],"answer":"(list (name resource:Demographics_of_Venezuela))","lemma_tokens":["demographic","of","Venezuela"],"tokens":["demographics","of","venezuela"],"parse":"resource:Demographics_of_Venezuela","relations":{},"type":"question"} + + +Utterance: Dengue fever +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Dengue_fever))","lemma_tokens":["dengue","fever"],"tokens":["dengue","fever"],"parse":"resource:Dengue_fever","relations":{},"type":"question"} + + +Utterance: Dermatitis +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Dermatitis))","lemma_tokens":["dermatitis"],"tokens":["dermatitis"],"parse":"resource:Dermatitis","relations":{},"type":"question"} + + +Utterance: Diabetes insipidus +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Diabetes_insipidus))","lemma_tokens":["Diabetes","insipidus"],"tokens":["diabetes","insipidus"],"parse":"resource:Diabetes_insipidus","relations":{},"type":"question"} + + +Utterance: Diabetic ketoacidosis +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Diabetic_ketoacidosis))","lemma_tokens":["diabetic","ketoacidosis"],"tokens":["diabetic","ketoacidosis"],"parse":"resource:Diabetic_ketoacidosis","relations":{},"type":"question"} + + +Utterance: Diabetic retinopathy +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Diabetic_retinopathy))","lemma_tokens":["diabetic","retinopathy"],"tokens":["diabetic","retinopathy"],"parse":"resource:Diabetic_retinopathy","relations":{},"type":"question"} + + +Utterance: Diarrhea +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Diarrhea))","lemma_tokens":["diarrhea"],"tokens":["diarrhea"],"parse":"resource:Diarrhea","relations":{},"type":"question"} + + +Utterance: Worldwide LHC Computing Grid +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP","NNP"],"answer":"(string \"\")","lemma_tokens":["Worldwide","LHC","Computing","Grid"],"tokens":["worldwide","lhc","computing","grid"],"parse":"\"OpenEntity\u0027worldwide lhc computing grid\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Trittico di Autunno +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Trittico_di_Autunno))","lemma_tokens":["Trittico","di","Autunno"],"tokens":["trittico","di","autunno"],"parse":"resource:Trittico_di_Autunno","relations":{},"type":"question"} + + +Utterance: Acetic acid bacteria +Response: {"sentiment":"Positive","postags":["JJ","NN","NNS"],"answer":"(list (name resource:Acetic_acid_bacteria))","lemma_tokens":["acetic","acid","bacterium"],"tokens":["acetic","acid","bacteria"],"parse":"resource:Acetic_acid_bacteria","relations":{},"type":"question"} + + +Utterance: Alice in Chains +Response: {"sentiment":"Neutral","postags":["NNP","IN","NNS"],"answer":"(list (name resource:Alice_in_Chains))","lemma_tokens":["Alice","in","chain"],"tokens":["alice","in","chains"],"parse":"resource:Alice_in_Chains","relations":{"(Alice,be in,chain)":1.0},"type":"question"} + + +Utterance: Alternating group +Response: {"sentiment":"Neutral","postags":["VBG","NN"],"answer":"(list (name resource:Alternating_group))","lemma_tokens":["alternate","group"],"tokens":["alternating","group"],"parse":"resource:Alternating_group","relations":{},"type":"question"} + + +Utterance: Amung people +Response: {"sentiment":"Neutral","postags":["JJ","NNS"],"answer":"(list (name resource:Amung_people))","lemma_tokens":["amung","people"],"tokens":["amung","people"],"parse":"resource:Amung_people","relations":{},"type":"question"} + + +Utterance: Anthrax (American band) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","JJ","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["anthrax","-lrb-","american","band","-rrb-"],"tokens":["anthrax","-lrb-","american","band","-rrb-"],"parse":"\"OpenEntity\u0027anthrax -lrb- american band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Asia (band) +Response: {"sentiment":"Neutral","postags":["NNP","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Asia","-lrb-","band","-rrb-"],"tokens":["asia","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027asia -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Associates (band) +Response: {"sentiment":"Neutral","postags":["NNS","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["associate","-lrb-","band","-rrb-"],"tokens":["associates","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027associates -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Australia Group +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Australia_Group))","lemma_tokens":["Australia","Group"],"tokens":["australia","group"],"parse":"resource:Australia_Group","relations":{},"type":"question"} + + +Utterance: Authentication +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Authentication))","lemma_tokens":["authentication"],"tokens":["authentication"],"parse":"resource:Authentication","relations":{},"type":"question"} + + +Utterance: Basalt +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Basalt))","lemma_tokens":["basalt"],"tokens":["basalt"],"parse":"resource:Basalt","relations":{},"type":"question"} + + +Utterance: Bauhaus (band) +Response: {"sentiment":"Neutral","postags":["NNP","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Bauhaus","-lrb-","band","-rrb-"],"tokens":["bauhaus","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027bauhaus -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Bay City Rollers +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNS"],"answer":"(list (name resource:Bay_City_Rollers))","lemma_tokens":["Bay","City","roller"],"tokens":["bay","city","rollers"],"parse":"resource:Bay_City_Rollers","relations":{},"type":"question"} + + +Utterance: Berbers +Response: {"sentiment":"Neutral","postags":["NNPS"],"answer":"(list (name resource:Berbers))","lemma_tokens":["Berbers"],"tokens":["berbers"],"parse":"resource:Berbers","relations":{},"type":"question"} + + +Utterance: Bill Haley & His Comets +Response: {"sentiment":"Neutral","postags":["NNP","NNP","CC","PRP$","NNS"],"answer":"(no answer)","lemma_tokens":["Bill","Haley","\u0026","he","comet"],"tokens":["bill","haley","\u0026","his","comets"],"parse":"(no answer)","relations":{}} + + +Utterance: Bland-Allison Act +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Bland–Allison_Act))","lemma_tokens":["Bland","Allison","Act"],"tokens":["bland","allison","act"],"parse":"resource:Bland–Allison_Act","relations":{},"type":"question"} + + +Utterance: Blur (band) +Response: {"sentiment":"Neutral","postags":["VB","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["blur","-lrb-","band","-rrb-"],"tokens":["blur","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027blur -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Brave Combo +Response: {"sentiment":"Positive","postags":["NNP","NNP"],"answer":"(list (name resource:Brave_Combo))","lemma_tokens":["Brave","Combo"],"tokens":["brave","combo"],"parse":"resource:Brave_Combo","relations":{},"type":"question"} + + +Utterance: Breccia +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(no answer)","lemma_tokens":["Breccia"],"tokens":["breccia"],"parse":"(no answer)","relations":{}} + + +Utterance: British Royal Family +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NN"],"answer":"(list (name resource:British_Royal_Family))","lemma_tokens":["British","Royal","family"],"tokens":["british","royal","family"],"parse":"resource:British_Royal_Family","relations":{},"type":"question"} + + +Utterance: Buryats +Response: {"sentiment":"Neutral","postags":["NNS"],"answer":"(list (name resource:Buryats))","lemma_tokens":["buryat"],"tokens":["buryats"],"parse":"resource:Buryats","relations":{},"type":"question"} + + +Utterance: Burzum +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Burzum))","lemma_tokens":["burzum"],"tokens":["burzum"],"parse":"resource:Burzum","relations":{},"type":"question"} + + +Utterance: Buzzcocks +Response: {"sentiment":"Neutral","postags":["NNPS"],"answer":"(list (name resource:Buzzcocks))","lemma_tokens":["Buzzcocks"],"tokens":["buzzcocks"],"parse":"resource:Buzzcocks","relations":{},"type":"question"} + + +Utterance: Cajuns +Response: {"sentiment":"Neutral","postags":["NNPS"],"answer":"(list (name resource:Cajuns))","lemma_tokens":["Cajuns"],"tokens":["cajuns"],"parse":"resource:Cajuns","relations":{},"type":"question"} + + +Utterance: Catatonia (band) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["catatonia","-lrb-","band","-rrb-"],"tokens":["catatonia","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027catatonia -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Catfish +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Catfish))","lemma_tokens":["catfish"],"tokens":["catfish"],"parse":"resource:Catfish","relations":{},"type":"question"} + + +Utterance: Cerebral palsy +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cerebral_palsy))","lemma_tokens":["cerebral","palsy"],"tokens":["cerebral","palsy"],"parse":"resource:Cerebral_palsy","relations":{},"type":"question"} + + +Utterance: Chalk +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Chalk))","lemma_tokens":["chalk"],"tokens":["chalk"],"parse":"resource:Chalk","relations":{},"type":"question"} + + +Utterance: Chicago Boys +Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list (name resource:Chicago_Boys))","lemma_tokens":["Chicago","Boys"],"tokens":["chicago","boys"],"parse":"resource:Chicago_Boys","relations":{},"type":"question"} + + +Utterance: Chiricahua +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Chiricahua))","lemma_tokens":["Chiricahua"],"tokens":["chiricahua"],"parse":"resource:Chiricahua","relations":{},"type":"question"} + + +Utterance: Choir +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Choir))","lemma_tokens":["choir"],"tokens":["choir"],"parse":"resource:Choir","relations":{},"type":"question"} + + +Utterance: Clapham Sect +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Clapham_Sect))","lemma_tokens":["Clapham","Sect"],"tokens":["clapham","sect"],"parse":"resource:Clapham_Sect","relations":{},"type":"question"} + + +Utterance: Clay +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Clay))","lemma_tokens":["clay"],"tokens":["clay"],"parse":"resource:Clay","relations":{},"type":"question"} + + +Utterance: Convoy +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Convoy))","lemma_tokens":["convoy"],"tokens":["convoy"],"parse":"resource:Convoy","relations":{},"type":"question"} + + +Utterance: Cosmic noise +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cosmic_noise))","lemma_tokens":["cosmic","noise"],"tokens":["cosmic","noise"],"parse":"resource:Cosmic_noise","relations":{},"type":"question"} + + +Utterance: Cossacks +Response: {"sentiment":"Neutral","postags":["NNPS"],"answer":"(list (name resource:Cossacks))","lemma_tokens":["Cossacks"],"tokens":["cossacks"],"parse":"resource:Cossacks","relations":{},"type":"question"} + + +Utterance: Cracker (band) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["cracker","-lrb-","band","-rrb-"],"tokens":["cracker","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027cracker -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Cream (band) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["cream","-lrb-","band","-rrb-"],"tokens":["cream","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027cream -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Cyclic group +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Cyclic_group))","lemma_tokens":["cyclic","group"],"tokens":["cyclic","group"],"parse":"resource:Cyclic_group","relations":{},"type":"question"} + + +Utterance: Darkthrone +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Darkthrone))","lemma_tokens":["Darkthrone"],"tokens":["darkthrone"],"parse":"resource:Darkthrone","relations":{},"type":"question"} + + +Utterance: Dauphiné Alps +Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list)","lemma_tokens":["Dauphiné","Alps"],"tokens":["dauphiné","alps"],"parse":"resource:Dauphin�_Alps","relations":{},"type":"question"} + + +Utterance: Dave Mattacks +Response: {"sentiment":"Positive","postags":["NNP","NNP"],"answer":"(list (name resource:Dave_Mattacks))","lemma_tokens":["Dave","Mattacks"],"tokens":["dave","mattacks"],"parse":"resource:Dave_Mattacks","relations":{},"type":"question"} + + +Utterance: Deep Purple +Response: {"sentiment":"Neutral","postags":["JJ","JJ"],"answer":"(list (name resource:Deep_Purple))","lemma_tokens":["deep","purple"],"tokens":["deep","purple"],"parse":"resource:Deep_Purple","relations":{},"type":"question"} + + +Utterance: Diatom +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Diatom))","lemma_tokens":["diatom"],"tokens":["diatom"],"parse":"resource:Diatom","relations":{},"type":"question"} + + +Utterance: Digital transmission group +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Digital_transmission_group))","lemma_tokens":["Digital","transmission","group"],"tokens":["digital","transmission","group"],"parse":"resource:Digital_transmission_group","relations":{},"type":"question"} + + +Utterance: Disarmament +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Disarmament))","lemma_tokens":["disarmament"],"tokens":["disarmament"],"parse":"resource:Disarmament","relations":{},"type":"question"} + + +Utterance: Discovery (observation) +Response: {"sentiment":"Positive","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["discovery","-lrb-","observation","-rrb-"],"tokens":["discovery","-lrb-","observation","-rrb-"],"parse":"\"OpenEntity\u0027discovery -lrb- observation -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Doe Maar +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Doe_Maar))","lemma_tokens":["Doe","Maar"],"tokens":["doe","maar"],"parse":"resource:Doe_Maar","relations":{},"type":"question"} + + +Utterance: Dr. Feelgood (band) +Response: {"sentiment":"Neutral","postags":["NNP","NNP","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Dr.","Feelgood","-lrb-","band","-rrb-"],"tokens":["dr.","feelgood","-lrb-","band","-rrb-"],"parse":"\"OpenEntity\u0027dr. feelgood -lrb- band -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Acanthocephala +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Acanthocephala))","lemma_tokens":["acanthocephala"],"tokens":["acanthocephala"],"parse":"resource:Acanthocephala","relations":{},"type":"question"} + + +Utterance: Acetic acid bacteria +Response: {"sentiment":"Positive","postags":["JJ","NN","NNS"],"answer":"(no answer)","lemma_tokens":["acetic","acid","bacterium"],"tokens":["acetic","acid","bacteria"],"parse":"(no answer)","relations":{}} + + +Utterance: African clawed frog +Response: {"sentiment":"Neutral","postags":["NNP","VBD","NN"],"answer":"(list (name resource:African_clawed_frog))","lemma_tokens":["African","claw","frog"],"tokens":["african","clawed","frog"],"parse":"resource:African_clawed_frog","relations":{"(African,claw,frog)":1.0},"type":"question"} + + +Utterance: Alkanna tinctoria +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Alkanna_tinctoria))","lemma_tokens":["Alkanna","tinctoria"],"tokens":["alkanna","tinctoria"],"parse":"resource:Alkanna_tinctoria","relations":{},"type":"question"} + + +Utterance: Amblycera +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Amblycera))","lemma_tokens":["Amblycera"],"tokens":["amblycera"],"parse":"resource:Amblycera","relations":{},"type":"question"} + + +Utterance: American pickerel +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:American_pickerel))","lemma_tokens":["American","pickerel"],"tokens":["american","pickerel"],"parse":"resource:American_pickerel","relations":{},"type":"question"} + + +Utterance: Antarctic krill +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Antarctic_krill))","lemma_tokens":["antarctic","krill"],"tokens":["antarctic","krill"],"parse":"resource:Antarctic_krill","relations":{},"type":"question"} + + +Utterance: Arabidopsis +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Arabidopsis_thaliana))","lemma_tokens":["Arabidopsis"],"tokens":["arabidopsis"],"parse":"resource:Arabidopsis_thaliana","relations":{},"type":"question"} + + +Utterance: Archaeocyatha +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Archaeocyatha))","lemma_tokens":["Archaeocyatha"],"tokens":["archaeocyatha"],"parse":"resource:Archaeocyatha","relations":{},"type":"question"} + + +Utterance: Arthrobacter +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Arthrobacter))","lemma_tokens":["arthrobacter"],"tokens":["arthrobacter"],"parse":"resource:Arthrobacter","relations":{},"type":"question"} + + +Utterance: Atlantic cod +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Atlantic_cod))","lemma_tokens":["Atlantic","cod"],"tokens":["atlantic","cod"],"parse":"resource:Atlantic_cod","relations":{},"type":"question"} + + +Utterance: Bacillus cereus +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Bacillus_cereus))","lemma_tokens":["bacillus","cereus"],"tokens":["bacillus","cereus"],"parse":"resource:Bacillus_cereus","relations":{},"type":"question"} + + +Utterance: Banksia +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Banksia))","lemma_tokens":["banksia"],"tokens":["banksia"],"parse":"resource:Banksia","relations":{},"type":"question"} + + +Utterance: Basidiomycota +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Basidiomycota))","lemma_tokens":["basidiomycota"],"tokens":["basidiomycota"],"parse":"resource:Basidiomycota","relations":{},"type":"question"} + + +Utterance: Beefalo +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Beefalo))","lemma_tokens":["Beefalo"],"tokens":["beefalo"],"parse":"resource:Beefalo","relations":{},"type":"question"} + + +Utterance: Bird of prey +Response: {"sentiment":"Neutral","postags":["NN","IN","NN"],"answer":"(list (name resource:Bird_of_prey))","lemma_tokens":["bird","of","prey"],"tokens":["bird","of","prey"],"parse":"resource:Bird_of_prey","relations":{},"type":"question"} + + +Utterance: Black rat +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Black_rat))","lemma_tokens":["black","rat"],"tokens":["black","rat"],"parse":"resource:Black_rat","relations":{},"type":"question"} + + +Utterance: Bluefish +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Bluefish))","lemma_tokens":["bluefish"],"tokens":["bluefish"],"parse":"resource:Bluefish","relations":{},"type":"question"} + + +Utterance: Breadfruit +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Breadfruit))","lemma_tokens":["breadfruit"],"tokens":["breadfruit"],"parse":"resource:Breadfruit","relations":{},"type":"question"} + + +Utterance: Bremsstrahlung +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Bremsstrahlung))","lemma_tokens":["Bremsstrahlung"],"tokens":["bremsstrahlung"],"parse":"resource:Bremsstrahlung","relations":{},"type":"question"} + + +Utterance: Bromeliaceae +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Bromeliaceae))","lemma_tokens":["Bromeliaceae"],"tokens":["bromeliaceae"],"parse":"resource:Bromeliaceae","relations":{},"type":"question"} + + +Utterance: Brown rat +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Brown_rat))","lemma_tokens":["Brown","rat"],"tokens":["brown","rat"],"parse":"resource:Brown_rat","relations":{},"type":"question"} + + +Utterance: Butterfly +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Butterfly))","lemma_tokens":["butterfly"],"tokens":["butterfly"],"parse":"resource:Butterfly","relations":{},"type":"question"} + + +Utterance: Cabbage +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Cabbage))","lemma_tokens":["Cabbage"],"tokens":["cabbage"],"parse":"resource:Cabbage","relations":{},"type":"question"} + + +Utterance: Candiru +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Candiru))","lemma_tokens":["candiru"],"tokens":["candiru"],"parse":"resource:Candiru","relations":{},"type":"question"} + + +Utterance: Cannabis +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Cannabis))","lemma_tokens":["cannabis"],"tokens":["cannabis"],"parse":"resource:Cannabis","relations":{},"type":"question"} + + +Utterance: Caridea +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Caridea))","lemma_tokens":["Caridea"],"tokens":["caridea"],"parse":"resource:Caridea","relations":{},"type":"question"} + + +Utterance: Catfish +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(no answer)","lemma_tokens":["catfish"],"tokens":["catfish"],"parse":"(no answer)","relations":{}} + + +Utterance: Cedrus +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Cedrus))","lemma_tokens":["Cedrus"],"tokens":["cedrus"],"parse":"resource:Cedrus","relations":{},"type":"question"} + + +Utterance: Centrarchidae +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Centrarchidae))","lemma_tokens":["Centrarchidae"],"tokens":["centrarchidae"],"parse":"resource:Centrarchidae","relations":{},"type":"question"} + + +Utterance: Characidae +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Characidae))","lemma_tokens":["Characidae"],"tokens":["characidae"],"parse":"resource:Characidae","relations":{},"type":"question"} + + +Utterance: Chardonnay +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Chardonnay))","lemma_tokens":["Chardonnay"],"tokens":["chardonnay"],"parse":"resource:Chardonnay","relations":{},"type":"question"} + + +Utterance: Chicken +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Chicken))","lemma_tokens":["chicken"],"tokens":["chicken"],"parse":"resource:Chicken","relations":{},"type":"question"} + + +Utterance: Chickpea +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Chickpea))","lemma_tokens":["Chickpea"],"tokens":["chickpea"],"parse":"resource:Chickpea","relations":{},"type":"question"} + + +Utterance: Chondrus crispus +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Chondrus_crispus))","lemma_tokens":["Chondrus","crispus"],"tokens":["chondrus","crispus"],"parse":"resource:Chondrus_crispus","relations":{},"type":"question"} + + +Utterance: Cicada +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Cicada))","lemma_tokens":["Cicada"],"tokens":["cicada"],"parse":"resource:Cicada","relations":{},"type":"question"} + + +Utterance: Cichlid +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Cichlid))","lemma_tokens":["cichlid"],"tokens":["cichlid"],"parse":"resource:Cichlid","relations":{},"type":"question"} + + +Utterance: Citrus +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Citrus))","lemma_tokens":["citrus"],"tokens":["citrus"],"parse":"resource:Citrus","relations":{},"type":"question"} + + +Utterance: Clam +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Clam))","lemma_tokens":["clam"],"tokens":["clam"],"parse":"resource:Clam","relations":{},"type":"question"} + + +Utterance: Clover +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Clover))","lemma_tokens":["Clover"],"tokens":["clover"],"parse":"resource:Clover","relations":{},"type":"question"} + + +Utterance: Clupeiformes +Response: {"sentiment":"Neutral","postags":["NNS"],"answer":"(list (name resource:Clupeiformes))","lemma_tokens":["clupeiforme"],"tokens":["clupeiformes"],"parse":"resource:Clupeiformes","relations":{},"type":"question"} + + +Utterance: Coconut +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list)","lemma_tokens":["Coconut"],"tokens":["coconut"],"parse":"!property:species","relations":{},"type":"question"} + + +Utterance: Coral +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Coral))","lemma_tokens":["coral"],"tokens":["coral"],"parse":"resource:Coral","relations":{},"type":"question"} + + +Utterance: Coregonus +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Coregonus))","lemma_tokens":["coregonus"],"tokens":["coregonus"],"parse":"resource:Coregonus","relations":{},"type":"question"} + + +Utterance: Cowpox +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(no answer)","lemma_tokens":["cowpox"],"tokens":["cowpox"],"parse":"(no answer)","relations":{}} + + +Utterance: Cuscuta +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Cuscuta))","lemma_tokens":["Cuscuta"],"tokens":["cuscuta"],"parse":"resource:Cuscuta","relations":{},"type":"question"} + + +Utterance: Datura stramonium +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Datura_stramonium))","lemma_tokens":["Datura","stramonium"],"tokens":["datura","stramonium"],"parse":"resource:Datura_stramonium","relations":{},"type":"question"} + + +Utterance: Dendrobranchiata +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Dendrobranchiata))","lemma_tokens":["Dendrobranchiata"],"tokens":["dendrobranchiata"],"parse":"resource:Dendrobranchiata","relations":{},"type":"question"} + + +Utterance: Dew point +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Dew_point))","lemma_tokens":["dew","point"],"tokens":["dew","point"],"parse":"resource:Dew_point","relations":{},"type":"question"} + + +Utterance: Diatom +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(no answer)","lemma_tokens":["diatom"],"tokens":["diatom"],"parse":"(no answer)","relations":{}} + + +Utterance: Finnish skittles +Response: {"sentiment":"Neutral","postags":["JJ","NNS"],"answer":"(list (name resource:Finnish_skittles))","lemma_tokens":["finnish","skittle"],"tokens":["finnish","skittles"],"parse":"resource:Finnish_skittles","relations":{},"type":"question"} + + +Utterance: Ars Magica +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Ars_Magica))","lemma_tokens":["Ars","Magica"],"tokens":["ars","magica"],"parse":"resource:Ars_Magica","relations":{},"type":"question"} + + +Utterance: Baccarat (card game) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["baccarat","-lrb-","card","game","-rrb-"],"tokens":["baccarat","-lrb-","card","game","-rrb-"],"parse":"\"OpenEntity\u0027baccarat -lrb- card game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Barber paradox +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Barber_paradox))","lemma_tokens":["Barber","paradox"],"tokens":["barber","paradox"],"parse":"resource:Barber_paradox","relations":{},"type":"question"} + + +Utterance: Bud +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Bud))","lemma_tokens":["Bud"],"tokens":["bud"],"parse":"resource:Bud","relations":{},"type":"question"} + + +Utterance: Commander Keen +Response: {"sentiment":"Neutral","postags":["NN","JJ"],"answer":"(list (name resource:Commander_Keen))","lemma_tokens":["commander","keen"],"tokens":["commander","keen"],"parse":"resource:Commander_Keen","relations":{},"type":"question"} + + +Utterance: Dr. Mario +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Dr._Mario))","lemma_tokens":["Dr.","Mario"],"tokens":["dr.","mario"],"parse":"resource:Dr._Mario","relations":{},"type":"question"} + + +Utterance: Fanorona +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Fanorona))","lemma_tokens":["Fanorona"],"tokens":["fanorona"],"parse":"resource:Fanorona","relations":{},"type":"question"} + + +Utterance: Fictionary +Response: {"sentiment":"Neutral","postags":["JJ"],"answer":"(list (name resource:Fictionary))","lemma_tokens":["fictionary"],"tokens":["fictionary"],"parse":"resource:Fictionary","relations":{},"type":"question"} + + +Utterance: Final Fantasy Adventure +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:Final_Fantasy_Adventure))","lemma_tokens":["final","fantasy","adventure"],"tokens":["final","fantasy","adventure"],"parse":"resource:Final_Fantasy_Adventure","relations":{},"type":"question"} + + +Utterance: FreeCell +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:FreeCell))","lemma_tokens":["FreeCell"],"tokens":["freecell"],"parse":"resource:FreeCell","relations":{},"type":"question"} + + +Utterance: GameCube +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name property:game))","lemma_tokens":["GameCube"],"tokens":["gamecube"],"parse":"property:game","relations":{},"type":"question"} + + +Utterance: Game of chance +Response: {"sentiment":"Neutral","postags":["NN","IN","NN"],"answer":"(list (name resource:Game_of_chance))","lemma_tokens":["game","of","chance"],"tokens":["game","of","chance"],"parse":"resource:Game_of_chance","relations":{},"type":"question"} + + +Utterance: Gin rummy +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Gin_rummy))","lemma_tokens":["gin","rummy"],"tokens":["gin","rummy"],"parse":"resource:Gin_rummy","relations":{},"type":"question"} + + +Utterance: Half-Life (video game) +Response: {"sentiment":"Neutral","postags":["DT","NN","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["half","life","-lrb-","video","game","-rrb-"],"tokens":["half","life","-lrb-","video","game","-rrb-"],"parse":"\"OpenEntity\u0027half life -lrb- video game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Hide-and-seek +Response: {"sentiment":"Neutral","postags":["VB","CC","VB"],"answer":"(no answer)","lemma_tokens":["hide","and","seek"],"tokens":["hide","and","seek"],"parse":"(no answer)","relations":{}} + + +Utterance: Kill Doctor Lucky +Response: {"sentiment":"Neutral","postags":["VB","NN","JJ"],"answer":"(list (name resource:Kill_Doctor_Lucky))","lemma_tokens":["kill","doctor","lucky"],"tokens":["kill","doctor","lucky"],"parse":"resource:Kill_Doctor_Lucky","relations":{},"type":"question"} + + +Utterance: Kiss +Response: {"sentiment":"Neutral","postags":["VB"],"answer":"(list (name resource:Kiss))","lemma_tokens":["kiss"],"tokens":["kiss"],"parse":"resource:Kiss","relations":{},"type":"question"} + + +Utterance: Klondike (solitaire) +Response: {"sentiment":"Neutral","postags":["NNP","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Klondike","-lrb-","solitaire","-rrb-"],"tokens":["klondike","-lrb-","solitaire","-rrb-"],"parse":"\"OpenEntity\u0027klondike -lrb- solitaire -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Kuru Kuru Kururin +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Kuru_Kuru_Kururin))","lemma_tokens":["Kuru","Kuru","Kururin"],"tokens":["kuru","kuru","kururin"],"parse":"resource:Kuru_Kuru_Kururin","relations":{},"type":"question"} + + +Utterance: Let It Ride (card game) +Response: {"sentiment":"Negative","postags":["VB","PRP","VB","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["let","it","ride","-lrb-","card","game","-rrb-"],"tokens":["let","it","ride","-lrb-","card","game","-rrb-"],"parse":"\"OpenEntity\u0027let it ride -lrb- card game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: List of chess variants +Response: {"sentiment":"Neutral","postags":["NN","IN","NN","NNS"],"answer":"(string \"\")","lemma_tokens":["list","of","chess","variant"],"tokens":["list","of","chess","variants"],"parse":"\"OpenEntity\u0027list of chess variants\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Locost +Response: {"sentiment":"Neutral","postags":["IN"],"answer":"(list (name resource:Locost))","lemma_tokens":["locost"],"tokens":["locost"],"parse":"resource:Locost","relations":{},"type":"question"} + + +Utterance: Luge +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Luge))","lemma_tokens":["luge"],"tokens":["luge"],"parse":"resource:Luge","relations":{},"type":"question"} + + +Utterance: MIDI Maze +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:MIDI_Maze))","lemma_tokens":["MIDI","maze"],"tokens":["midi","maze"],"parse":"resource:MIDI_Maze","relations":{},"type":"question"} + + +Utterance: Mario Kart: Super Circuit +Response: {"sentiment":"Neutral","postags":["NNP","NNP",":","NNP","NNP"],"answer":"(no answer)","lemma_tokens":["Mario","Kart",":","Super","Circuit"],"tokens":["mario","kart",":","super","circuit"],"parse":"(no answer)","relations":{}} + + +Utterance: Mornington Crescent (game) +Response: {"sentiment":"Neutral","postags":["NNP","NNP","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Mornington","Crescent","-lrb-","game","-rrb-"],"tokens":["mornington","crescent","-lrb-","game","-rrb-"],"parse":"\"OpenEntity\u0027mornington crescent -lrb- game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Pachinko +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Pachinko))","lemma_tokens":["pachinko"],"tokens":["pachinko"],"parse":"resource:Pachinko","relations":{},"type":"question"} + + +Utterance: Peg solitaire +Response: {"sentiment":"Neutral","postags":["VB","NN"],"answer":"(list (name resource:Peg_solitaire))","lemma_tokens":["peg","solitaire"],"tokens":["peg","solitaire"],"parse":"resource:Peg_solitaire","relations":{},"type":"question"} + + +Utterance: Quiz bowl +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Quiz_bowl))","lemma_tokens":["quiz","bowl"],"tokens":["quiz","bowl"],"parse":"resource:Quiz_bowl","relations":{},"type":"question"} + + +Utterance: Radiant Silvergun +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Radiant_Silvergun))","lemma_tokens":["radiant","silvergun"],"tokens":["radiant","silvergun"],"parse":"resource:Radiant_Silvergun","relations":{},"type":"question"} + + +Utterance: Red dog (card game) +Response: {"sentiment":"Neutral","postags":["NNP","NNP","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Red","dog","-lrb-","card","game","-rrb-"],"tokens":["red","dog","-lrb-","card","game","-rrb-"],"parse":"\"OpenEntity\u0027red dog -lrb- card game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Risk (game) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["risk","-lrb-","game","-rrb-"],"tokens":["risk","-lrb-","game","-rrb-"],"parse":"\"OpenEntity\u0027risk -lrb- game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Rolemaster +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Rolemaster))","lemma_tokens":["rolemaster"],"tokens":["rolemaster"],"parse":"resource:Rolemaster","relations":{},"type":"question"} + + +Utterance: Russian roulette +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Russian_roulette))","lemma_tokens":["Russian","roulette"],"tokens":["russian","roulette"],"parse":"resource:Russian_roulette","relations":{},"type":"question"} + + +Utterance: SameGame +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:SameGame))","lemma_tokens":["SameGame"],"tokens":["samegame"],"parse":"resource:SameGame","relations":{},"type":"question"} + + +Utterance: Scotland Yard (board game) +Response: {"sentiment":"Neutral","postags":["NNP","NN","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["Scotland","yard","-lrb-","board","game","-rrb-"],"tokens":["scotland","yard","-lrb-","board","game","-rrb-"],"parse":"\"OpenEntity\u0027scotland yard -lrb- board game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Sega CD +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(no answer)","lemma_tokens":["Sega","CD"],"tokens":["sega","cd"],"parse":"(no answer)","relations":{}} + + +Utterance: Set (game) +Response: {"sentiment":"Neutral","postags":["NN","-LRB-","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["set","-lrb-","game","-rrb-"],"tokens":["set","-lrb-","game","-rrb-"],"parse":"\"OpenEntity\u0027set -lrb- game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Shiritori +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Shiritori))","lemma_tokens":["shiritori"],"tokens":["shiritori"],"parse":"resource:Shiritori","relations":{},"type":"question"} + + +Utterance: Six Degrees of Kevin Bacon +Response: {"sentiment":"Neutral","postags":["CD","NNS","IN","NNP","NNP"],"answer":"(list (name resource:Six_Degrees_of_Kevin_Bacon))","lemma_tokens":["six","degree","of","Kevin","Bacon"],"tokens":["six","degrees","of","kevin","bacon"],"parse":"resource:Six_Degrees_of_Kevin_Bacon","relations":{},"type":"question"} + + +Utterance: Snakes and Ladders +Response: {"sentiment":"Neutral","postags":["NNS","CC","NNS"],"answer":"(list (name resource:Snakes_and_Ladders))","lemma_tokens":["snake","and","ladder"],"tokens":["snakes","and","ladders"],"parse":"resource:Snakes_and_Ladders","relations":{},"type":"question"} + + +Utterance: Sokoban +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Sokoban))","lemma_tokens":["Sokoban"],"tokens":["sokoban"],"parse":"resource:Sokoban","relations":{},"type":"question"} + + +Utterance: Soldier of Fortune (video game) +Response: {"sentiment":"Neutral","postags":["NN","IN","NN","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["soldier","of","fortune","-lrb-","video","game","-rrb-"],"tokens":["soldier","of","fortune","-lrb-","video","game","-rrb-"],"parse":"\"OpenEntity\u0027soldier of fortune -lrb- video game -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Soma cube +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Soma_cube))","lemma_tokens":["Soma","cube"],"tokens":["soma","cube"],"parse":"resource:Soma_cube","relations":{},"type":"question"} + + +Utterance: Spellevator +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Spellevator))","lemma_tokens":["spellevator"],"tokens":["spellevator"],"parse":"resource:Spellevator","relations":{},"type":"question"} + + +Utterance: Storytelling game +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Storytelling_game))","lemma_tokens":["storytelling","game"],"tokens":["storytelling","game"],"parse":"resource:Storytelling_game","relations":{},"type":"question"} + + +Utterance: Strategic bombing +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Strategic_bombing))","lemma_tokens":["strategic","bombing"],"tokens":["strategic","bombing"],"parse":"resource:Strategic_bombing","relations":{},"type":"question"} + + +Utterance: Stratego +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Stratego))","lemma_tokens":["Stratego"],"tokens":["stratego"],"parse":"resource:Stratego","relations":{},"type":"question"} + + +Utterance: Strategy game +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Strategy_game))","lemma_tokens":["strategy","game"],"tokens":["strategy","game"],"parse":"resource:Strategy_game","relations":{},"type":"question"} + + +Utterance: Djurab Desert +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Djurab_Desert))","lemma_tokens":["Djurab","Desert"],"tokens":["djurab","desert"],"parse":"resource:Djurab_Desert","relations":{},"type":"question"} + + +Utterance: Abbasid Caliphate +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Abbasid_Caliphate))","lemma_tokens":["Abbasid","Caliphate"],"tokens":["abbasid","caliphate"],"parse":"resource:Abbasid_Caliphate","relations":{},"type":"question"} + + +Utterance: Acre, Israel +Response: {"sentiment":"Neutral","postags":["NN",",","NNP"],"answer":"(no answer)","lemma_tokens":["acre",",","Israel"],"tokens":["acre",",","israel"],"parse":"(no answer)","relations":{}} + + +Utterance: Adirondack Mountains +Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list (name resource:Adirondack_Mountains))","lemma_tokens":["Adirondack","Mountains"],"tokens":["adirondack","mountains"],"parse":"resource:Adirondack_Mountains","relations":{},"type":"question"} + + +Utterance: Albireo +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Albireo))","lemma_tokens":["Albireo"],"tokens":["albireo"],"parse":"resource:Albireo","relations":{},"type":"question"} + + +Utterance: Albula Alps +Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list (name resource:Albula_Alps))","lemma_tokens":["Albula","Alps"],"tokens":["albula","alps"],"parse":"resource:Albula_Alps","relations":{},"type":"question"} + + +Utterance: Almohad Caliphate +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Almohad_Caliphate))","lemma_tokens":["Almohad","caliphate"],"tokens":["almohad","caliphate"],"parse":"resource:Almohad_Caliphate","relations":{},"type":"question"} + + +Utterance: AltiVec +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:AltiVec))","lemma_tokens":["AltiVec"],"tokens":["altivec"],"parse":"resource:AltiVec","relations":{},"type":"question"} + + +Utterance: Aperture +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Aperture))","lemma_tokens":["aperture"],"tokens":["aperture"],"parse":"resource:Aperture","relations":{},"type":"question"} + + +Utterance: Arab League +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Arab_League))","lemma_tokens":["Arab","League"],"tokens":["arab","league"],"parse":"resource:Arab_League","relations":{},"type":"question"} + + +Utterance: Ashkelon +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Ashkelon))","lemma_tokens":["Ashkelon"],"tokens":["ashkelon"],"parse":"resource:Ashkelon","relations":{},"type":"question"} + + +Utterance: Assassination market +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Assassination_market))","lemma_tokens":["assassination","market"],"tokens":["assassination","market"],"parse":"resource:Assassination_market","relations":{},"type":"question"} + + +Utterance: Babington Plot +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Babington_Plot))","lemma_tokens":["Babington","plot"],"tokens":["babington","plot"],"parse":"resource:Babington_Plot","relations":{},"type":"question"} + + +Utterance: Bacterial growth +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Bacterial_growth))","lemma_tokens":["bacterial","growth"],"tokens":["bacterial","growth"],"parse":"resource:Bacterial_growth","relations":{},"type":"question"} + + +Utterance: Bernese Alps +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Bernese_Alps))","lemma_tokens":["Bernese","Alps"],"tokens":["bernese","alps"],"parse":"resource:Bernese_Alps","relations":{},"type":"question"} + + +Utterance: Betelgeuse +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Betelgeuse))","lemma_tokens":["Betelgeuse"],"tokens":["betelgeuse"],"parse":"resource:Betelgeuse","relations":{},"type":"question"} + + +Utterance: Biotope +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Biotope))","lemma_tokens":["Biotope"],"tokens":["biotope"],"parse":"resource:Biotope","relations":{},"type":"question"} + + +Utterance: Blackfriars Bridge +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Blackfriars_Bridge))","lemma_tokens":["Blackfriars","Bridge"],"tokens":["blackfriars","bridge"],"parse":"resource:Blackfriars_Bridge","relations":{},"type":"question"} + + +Utterance: Brenner Pass +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Brenner_Pass))","lemma_tokens":["Brenner","pass"],"tokens":["brenner","pass"],"parse":"resource:Brenner_Pass","relations":{},"type":"question"} + + +Utterance: Brooklyn Bridge +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Brooklyn_Bridge))","lemma_tokens":["Brooklyn","Bridge"],"tokens":["brooklyn","bridge"],"parse":"resource:Brooklyn_Bridge","relations":{},"type":"question"} + + +Utterance: Calabria +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Calabria))","lemma_tokens":["Calabria"],"tokens":["calabria"],"parse":"resource:Calabria","relations":{},"type":"question"} + + +Utterance: Campania +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Campania))","lemma_tokens":["Campania"],"tokens":["campania"],"parse":"resource:Campania","relations":{},"type":"question"} + + +Utterance: Cape Canaveral 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+Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list (name resource:Cottian_Alps))","lemma_tokens":["Cottian","Alps"],"tokens":["cottian","alps"],"parse":"resource:Cottian_Alps","relations":{},"type":"question"} + + +Utterance: County Londonderry +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:County_Londonderry))","lemma_tokens":["County","Londonderry"],"tokens":["county","londonderry"],"parse":"resource:County_Londonderry","relations":{},"type":"question"} + + +Utterance: County Tyrone +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:County_Tyrone))","lemma_tokens":["County","Tyrone"],"tokens":["county","tyrone"],"parse":"resource:County_Tyrone","relations":{},"type":"question"} + + +Utterance: Court-martial +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list)","lemma_tokens":["court","martial"],"tokens":["court","martial"],"parse":"resource:Court_Martial","relations":{},"type":"question"} + + +Utterance: Cyclone +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Cyclone))","lemma_tokens":["cyclone"],"tokens":["cyclone"],"parse":"resource:Cyclone","relations":{},"type":"question"} + + +Utterance: Dacia +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Dacia))","lemma_tokens":["Dacia"],"tokens":["dacia"],"parse":"resource:Dacia","relations":{},"type":"question"} + + +Utterance: Dalmatia +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Dalmatia))","lemma_tokens":["Dalmatia"],"tokens":["dalmatia"],"parse":"resource:Dalmatia","relations":{},"type":"question"} + + +Utterance: Dauphiné Alps +Response: {"sentiment":"Neutral","postags":["NNP","NNPS"],"answer":"(list)","lemma_tokens":["Dauphiné","Alps"],"tokens":["dauphiné","alps"],"parse":"resource:Dauphin�_Alps","relations":{},"type":"question"} + + +Utterance: Death Valley +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Death_Valley))","lemma_tokens":["Death","Valley"],"tokens":["death","valley"],"parse":"resource:Death_Valley","relations":{},"type":"question"} + + +Utterance: Democratic Republic of Afghanistan +Response: {"sentiment":"Neutral","postags":["JJ","NN","IN","NNP"],"answer":"(list (name resource:Democratic_Republic_of_Afghanistan))","lemma_tokens":["democratic","republic","of","Afghanistan"],"tokens":["democratic","republic","of","afghanistan"],"parse":"resource:Democratic_Republic_of_Afghanistan","relations":{},"type":"question"} + + +Utterance: Dodoni +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name 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{"sentiment":"Neutral","postags":["NNP","IN","NNP"],"answer":"(list (name resource:List_of_rulers_of_Lorraine))","lemma_tokens":["Duchy","of","Lorraine"],"tokens":["duchy","of","lorraine"],"parse":"resource:List_of_rulers_of_Lorraine","relations":{},"type":"question"} + + +Utterance: Duchy of Mecklenburg-Strelitz +Response: {"sentiment":"Neutral","postags":["NNP","IN","NNP","NNP"],"answer":"(list (name resource:Grand_Duchy_of_Mecklenburg-Strelitz))","lemma_tokens":["Duchy","of","Mecklenburg","Strelitz"],"tokens":["duchy","of","mecklenburg","strelitz"],"parse":"resource:Grand_Duchy_of_Mecklenburg-Strelitz","relations":{},"type":"question"} + + +Utterance: Economy of Ukraine +Response: {"sentiment":"Neutral","postags":["NN","IN","NNP"],"answer":"(list (name resource:Economy_of_Ukraine))","lemma_tokens":["economy","of","Ukraine"],"tokens":["economy","of","ukraine"],"parse":"resource:Economy_of_Ukraine","relations":{},"type":"question"} + + +Utterance: Electromagnetic interference control +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:Electromagnetic_interference_control))","lemma_tokens":["electromagnetic","interference","control"],"tokens":["electromagnetic","interference","control"],"parse":"resource:Electromagnetic_interference_control","relations":{},"type":"question"} + + +Utterance: Andreas Ekberg +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Andreas_Ekberg))","lemma_tokens":["Andreas","Ekberg"],"tokens":["andreas","ekberg"],"parse":"resource:Andreas_Ekberg","relations":{},"type":"question"} + + +Utterance: Danilo Tognon +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Danilo_Tognon))","lemma_tokens":["Danilo","Tognon"],"tokens":["danilo","tognon"],"parse":"resource:Danilo_Tognon","relations":{},"type":"question"} + + +Utterance: Lorine Livington Pruette +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Lorine_Livington_Pruette))","lemma_tokens":["Lorine","Livington","Pruette"],"tokens":["lorine","livington","pruette"],"parse":"resource:Lorine_Livington_Pruette","relations":{},"type":"question"} + + +Utterance: Megan Lawrence +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Megan_Lawrence))","lemma_tokens":["Megan","Lawrence"],"tokens":["megan","lawrence"],"parse":"resource:Megan_Lawrence","relations":{},"type":"question"} + + +Utterance: Nikolaos Ventouras +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Nikolaos_Ventouras))","lemma_tokens":["Nikolaos","Ventouras"],"tokens":["nikolaos","ventouras"],"parse":"resource:Nikolaos_Ventouras","relations":{},"type":"question"} + + +Utterance: Peter Ceffons +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name 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Hafizi +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Astrit_Hafizi))","lemma_tokens":["Astrit","Hafizi"],"tokens":["astrit","hafizi"],"parse":"resource:Astrit_Hafizi","relations":{},"type":"question"} + + +Utterance: Barry James +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Barry_James))","lemma_tokens":["Barry","James"],"tokens":["barry","james"],"parse":"resource:Barry_James","relations":{},"type":"question"} + + +Utterance: Bojan Pandžić +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(no answer)","lemma_tokens":["Bojan","Pandžić"],"tokens":["bojan","pandžić"],"parse":"(no answer)","relations":{}} + + +Utterance: Briana Provancha +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Briana_Provancha))","lemma_tokens":["Briana","Provancha"],"tokens":["briana","provancha"],"parse":"resource:Briana_Provancha","relations":{},"type":"question"} + + +Utterance: Courtney Okolo +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Courtney_Okolo))","lemma_tokens":["Courtney","Okolo"],"tokens":["courtney","okolo"],"parse":"resource:Courtney_Okolo","relations":{},"type":"question"} + + +Utterance: Daryl Homer +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Daryl_Homer))","lemma_tokens":["Daryl","Homer"],"tokens":["daryl","homer"],"parse":"resource:Daryl_Homer","relations":{},"type":"question"} + + +Utterance: Edward Ling +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Edward_Ling))","lemma_tokens":["Edward","Ling"],"tokens":["edward","ling"],"parse":"resource:Edward_Ling","relations":{},"type":"question"} + + +Utterance: Francesco Boffo +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name 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+Utterance: Geremia Ghisi +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Geremia_Ghisi))","lemma_tokens":["geremia","ghisi"],"tokens":["geremia","ghisi"],"parse":"resource:Geremia_Ghisi","relations":{},"type":"question"} + + +Utterance: Giles Scott +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Giles_Scott))","lemma_tokens":["Giles","Scott"],"tokens":["giles","scott"],"parse":"resource:Giles_Scott","relations":{},"type":"question"} + + +Utterance: Giovan Francesco Buonamici +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Giovan_Francesco_Buonamici))","lemma_tokens":["Giovan","Francesco","Buonamici"],"tokens":["giovan","francesco","buonamici"],"parse":"resource:Giovan_Francesco_Buonamici","relations":{},"type":"question"} + + +Utterance: Grace McKenzie +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Grace_McKenzie))","lemma_tokens":["Grace","McKenzie"],"tokens":["grace","mckenzie"],"parse":"resource:Grace_McKenzie","relations":{},"type":"question"} + + +Utterance: Graham Dadds +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Graham_Dadds))","lemma_tokens":["Graham","Dadds"],"tokens":["graham","dadds"],"parse":"resource:Graham_Dadds","relations":{},"type":"question"} + + +Utterance: Ilya Mokretsov +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Ilya_Mokretsov))","lemma_tokens":["Ilya","Mokretsov"],"tokens":["ilya","mokretsov"],"parse":"resource:Ilya_Mokretsov","relations":{},"type":"question"} + + +Utterance: Kirstie Alora +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Kirstie_Alora))","lemma_tokens":["Kirstie","Alora"],"tokens":["kirstie","alora"],"parse":"resource:Kirstie_Alora","relations":{},"type":"question"} + + +Utterance: Lala Abdul Rashid +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Lala_Abdul_Rashid))","lemma_tokens":["Lala","Abdul","Rashid"],"tokens":["lala","abdul","rashid"],"parse":"resource:Lala_Abdul_Rashid","relations":{},"type":"question"} + + +Utterance: Larry Hurtado +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Larry_Hurtado))","lemma_tokens":["Larry","Hurtado"],"tokens":["larry","hurtado"],"parse":"resource:Larry_Hurtado","relations":{},"type":"question"} + + +Utterance: Luís Tinoco +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list)","lemma_tokens":["Luís","Tinoco"],"tokens":["luís","tinoco"],"parse":"resource:Lu�s_Tinoco","relations":{},"type":"question"} + + +Utterance: Marcelo Espinal +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list)","lemma_tokens":["Marcelo","Espinal"],"tokens":["marcelo","espinal"],"parse":"resource:C.D.S._Vida__Rodolfo_Marcelo_Espinal_Paniagua__1","relations":{},"type":"question"} + + +Utterance: Maximilien van Haaster +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list)","lemma_tokens":["Maximilien","van","Haaster"],"tokens":["maximilien","van","haaster"],"parse":"resource:Maximilien_Van_Haaster","relations":{},"type":"question"} + + +Utterance: Mohammed Al-Hakim +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(string \"\")","lemma_tokens":["Mohammed","Al","Hakim"],"tokens":["mohammed","al","hakim"],"parse":"\"OpenEntity\u0027mohammed al hakim\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: Monica Aksamit +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name 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Moussette +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Pierre_Moussette))","lemma_tokens":["Pierre","Moussette"],"tokens":["pierre","moussette"],"parse":"resource:Pierre_Moussette","relations":{},"type":"question"} + + +Utterance: Piotr Kochanowski +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Piotr_Kochanowski))","lemma_tokens":["Piotr","Kochanowski"],"tokens":["piotr","kochanowski"],"parse":"resource:Piotr_Kochanowski","relations":{},"type":"question"} + + +Utterance: Robin Lindsay +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Robin_Lindsay))","lemma_tokens":["Robin","Lindsay"],"tokens":["robin","lindsay"],"parse":"resource:Robin_Lindsay","relations":{},"type":"question"} + + +Utterance: Simon Lee Evans +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name 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+ + +Utterance: BMX +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Freestyle_BMX))","lemma_tokens":["BMX"],"tokens":["bmx"],"parse":"resource:Freestyle_BMX","relations":{},"type":"question"} + + +Utterance: Bobsleigh +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Bobsleigh))","lemma_tokens":["Bobsleigh"],"tokens":["bobsleigh"],"parse":"resource:Bobsleigh","relations":{},"type":"question"} + + +Utterance: Bungee jumping +Response: {"sentiment":"Neutral","postags":["NN","VBG"],"answer":"(list (name resource:Bungee_jumping))","lemma_tokens":["bungee","jump"],"tokens":["bungee","jumping"],"parse":"resource:Bungee_jumping","relations":{},"type":"question"} + + +Utterance: Commerce +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Commerce))","lemma_tokens":["Commerce"],"tokens":["commerce"],"parse":"resource:Commerce","relations":{},"type":"question"} + + +Utterance: Communications security +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Communications_security))","lemma_tokens":["Communications","security"],"tokens":["communications","security"],"parse":"resource:Communications_security","relations":{},"type":"question"} + + +Utterance: Computer engineering +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Computer_engineering))","lemma_tokens":["computer","engineering"],"tokens":["computer","engineering"],"parse":"resource:Computer_engineering","relations":{},"type":"question"} + + +Utterance: Construction engineering +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Construction_engineering))","lemma_tokens":["construction","engineering"],"tokens":["construction","engineering"],"parse":"resource:Construction_engineering","relations":{},"type":"question"} + + +Utterance: Dressage +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Dressage))","lemma_tokens":["dressage"],"tokens":["dressage"],"parse":"resource:Dressage","relations":{},"type":"question"} + + +Utterance: Fishing +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Fishing))","lemma_tokens":["fishing"],"tokens":["fishing"],"parse":"resource:Fishing","relations":{},"type":"question"} + + +Utterance: Freeflying +Response: {"sentiment":"Neutral","postags":["VBG"],"answer":"(list (name resource:Freeflying))","lemma_tokens":["freefly"],"tokens":["freeflying"],"parse":"resource:Freeflying","relations":{},"type":"question"} + + +Utterance: Gaelic football +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Gaelic_football))","lemma_tokens":["gaelic","football"],"tokens":["gaelic","football"],"parse":"resource:Gaelic_football","relations":{},"type":"question"} + + +Utterance: Genomics +Response: {"sentiment":"Neutral","postags":["NNS"],"answer":"(list (name resource:Genomics))","lemma_tokens":["genomic"],"tokens":["genomics"],"parse":"resource:Genomics","relations":{},"type":"question"} + + +Utterance: Ice dancing +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Ice_dancing))","lemma_tokens":["ice","dancing"],"tokens":["ice","dancing"],"parse":"resource:Ice_dancing","relations":{},"type":"question"} + + +Utterance: Luge +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(no answer)","lemma_tokens":["luge"],"tokens":["luge"],"parse":"(no answer)","relations":{}} + + +Utterance: Modern pentathlon +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Modern_pentathlon))","lemma_tokens":["modern","pentathlon"],"tokens":["modern","pentathlon"],"parse":"resource:Modern_pentathlon","relations":{},"type":"question"} + + +Utterance: Mountain unicycling +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Mountain_unicycling))","lemma_tokens":["mountain","unicycling"],"tokens":["mountain","unicycling"],"parse":"resource:Mountain_unicycling","relations":{},"type":"question"} + + +Utterance: Olympic weightlifting +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Olympic_weightlifting))","lemma_tokens":["Olympic","weightlifting"],"tokens":["olympic","weightlifting"],"parse":"resource:Olympic_weightlifting","relations":{},"type":"question"} + + +Utterance: Racquetball +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Racquetball))","lemma_tokens":["racquetball"],"tokens":["racquetball"],"parse":"resource:Racquetball","relations":{},"type":"question"} + + +Utterance: Safety engineering +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Safety_engineering))","lemma_tokens":["safety","engineering"],"tokens":["safety","engineering"],"parse":"resource:Safety_engineering","relations":{},"type":"question"} + + +Utterance: Short track speed skating +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN","VBG"],"answer":"(list (name resource:Short_track_speed_skating))","lemma_tokens":["short","track","speed","skate"],"tokens":["short","track","speed","skating"],"parse":"resource:Short_track_speed_skating","relations":{},"type":"question"} + + +Utterance: Show jumping +Response: {"sentiment":"Neutral","postags":["NN","VBG"],"answer":"(list (name resource:Show_jumping))","lemma_tokens":["show","jump"],"tokens":["show","jumping"],"parse":"resource:Show_jumping","relations":{},"type":"question"} + + +Utterance: Ski jumping +Response: {"sentiment":"Neutral","postags":["NN","VBG"],"answer":"(list (name resource:Ski_jumping))","lemma_tokens":["ski","jump"],"tokens":["ski","jumping"],"parse":"resource:Ski_jumping","relations":{},"type":"question"} + + +Utterance: Snowboarding +Response: {"sentiment":"Neutral","postags":["VBG"],"answer":"(list (name resource:Snowboarding))","lemma_tokens":["snowboard"],"tokens":["snowboarding"],"parse":"resource:Snowboarding","relations":{},"type":"question"} + + +Utterance: Sport of athletics +Response: {"sentiment":"Neutral","postags":["NN","IN","NNP"],"answer":"(list (name resource:Sport_of_athletics))","lemma_tokens":["sport","of","athletics"],"tokens":["sport","of","athletics"],"parse":"resource:Sport_of_athletics","relations":{},"type":"question"} + + +Utterance: Sumo +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Sumo))","lemma_tokens":["Sumo"],"tokens":["sumo"],"parse":"resource:Sumo","relations":{},"type":"question"} + + +Utterance: Table tennis +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Table_tennis))","lemma_tokens":["table","tennis"],"tokens":["table","tennis"],"parse":"resource:Table_tennis","relations":{},"type":"question"} + + +Utterance: Tennis +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name property:sport))","lemma_tokens":["tennis"],"tokens":["tennis"],"parse":"property:sport","relations":{},"type":"question"} + + +Utterance: Theoretical ecology +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Theoretical_ecology))","lemma_tokens":["theoretical","ecology"],"tokens":["theoretical","ecology"],"parse":"resource:Theoretical_ecology","relations":{},"type":"question"} + + +Utterance: Volleyball +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name property:sport))","lemma_tokens":["volleyball"],"tokens":["volleyball"],"parse":"property:sport","relations":{},"type":"question"} + + +Utterance: Wakeboarding +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Wakeboarding))","lemma_tokens":["Wakeboarding"],"tokens":["wakeboarding"],"parse":"resource:Wakeboarding","relations":{},"type":"question"} + + +Utterance: Water polo +Response: {"sentiment":"Neutral","postags":["NN","NNP"],"answer":"(list (name resource:Water_polo))","lemma_tokens":["water","polo"],"tokens":["water","polo"],"parse":"resource:Water_polo","relations":{},"type":"question"} + + +Utterance: Water skiing +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:World_water_skiing_champions))","lemma_tokens":["water","skiing"],"tokens":["water","skiing"],"parse":"resource:World_water_skiing_champions","relations":{},"type":"question"} + + +Utterance: Winter sport +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Winter_sport))","lemma_tokens":["winter","sport"],"tokens":["winter","sport"],"parse":"resource:Winter_sport","relations":{},"type":"question"} + + +Utterance: Woodworking +Response: {"sentiment":"Neutral","postags":["VBG"],"answer":"(list (name resource:Woodworking))","lemma_tokens":["woodwork"],"tokens":["woodworking"],"parse":"resource:Woodworking","relations":{},"type":"question"} + + +Utterance: Business process modeling +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Business_process_modeling))","lemma_tokens":["business","process","modeling"],"tokens":["business","process","modeling"],"parse":"resource:Business_process_modeling","relations":{},"type":"question"} + + +Utterance: Cantus +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Cantus))","lemma_tokens":["Cantus"],"tokens":["cantus"],"parse":"resource:Cantus","relations":{},"type":"question"} + + +Utterance: Crime reconstruction +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Crime_reconstruction))","lemma_tokens":["crime","reconstruction"],"tokens":["crime","reconstruction"],"parse":"resource:Crime_reconstruction","relations":{},"type":"question"} + + +Utterance: Formula racing +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Formula_racing))","lemma_tokens":["formula","racing"],"tokens":["formula","racing"],"parse":"resource:Formula_racing","relations":{},"type":"question"} + + +Utterance: Highmarking +Response: {"sentiment":"Neutral","postags":["VBG"],"answer":"(list (name resource:Highmarking))","lemma_tokens":["highmark"],"tokens":["highmarking"],"parse":"resource:Highmarking","relations":{},"type":"question"} + + +Utterance: Prognostics +Response: {"sentiment":"Neutral","postags":["NNS"],"answer":"(list (name resource:Prognostics))","lemma_tokens":["prognostic"],"tokens":["prognostics"],"parse":"resource:Prognostics","relations":{},"type":"question"} + + +Utterance: World Darts Federation +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:World_Darts_Federation))","lemma_tokens":["world","darts","federation"],"tokens":["world","darts","federation"],"parse":"resource:World_Darts_Federation","relations":{},"type":"question"} + + +Utterance: Cricket in Nepal +Response: {"sentiment":"Neutral","postags":["NN","IN","NNP"],"answer":"(list (name resource:Cricket_in_Nepal))","lemma_tokens":["cricket","in","Nepal"],"tokens":["cricket","in","nepal"],"parse":"resource:Cricket_in_Nepal","relations":{"(cricket,be in,Nepal)":1.0},"type":"question"} + + +Utterance: Athletics at the Central American and Caribbean Games +Response: {"sentiment":"Neutral","postags":["NNS","IN","DT","JJ","JJ","CC","JJ","NNS"],"answer":"(list (name resource:Athletics_at_the_Central_American_and_Caribbean_Games))","lemma_tokens":["athletics","at","the","central","american","and","caribbean","game"],"tokens":["athletics","at","the","central","american","and","caribbean","games"],"parse":"resource:Athletics_at_the_Central_American_and_Caribbean_Games","relations":{},"type":"question"} + + +Utterance: Body blading +Response: {"sentiment":"Neutral","postags":["NN","VBG"],"answer":"(list (name resource:Body_blading))","lemma_tokens":["body","blade"],"tokens":["body","blading"],"parse":"resource:Body_blading","relations":{},"type":"question"} + + +Utterance: Cheerleading in the United Kingdom +Response: {"sentiment":"Neutral","postags":["NN","IN","DT","NNP","NNP"],"answer":"(list (name resource:Cheerleading_in_the_United_Kingdom))","lemma_tokens":["cheerleading","in","the","United","Kingdom"],"tokens":["cheerleading","in","the","united","kingdom"],"parse":"resource:Cheerleading_in_the_United_Kingdom","relations":{"(cheerleading,be in,United Kingdom)":1.0},"type":"question"} + + +Utterance: European Lacrosse Federation +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:European_Lacrosse_Federation))","lemma_tokens":["European","Lacrosse","Federation"],"tokens":["european","lacrosse","federation"],"parse":"resource:European_Lacrosse_Federation","relations":{},"type":"question"} + + +Utterance: FSU Flying High Circus +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP","NNP"],"answer":"(list (name resource:FSU_Flying_High_Circus))","lemma_tokens":["FSU","Flying","High","Circus"],"tokens":["fsu","flying","high","circus"],"parse":"resource:FSU_Flying_High_Circus","relations":{},"type":"question"} + + +Utterance: Gymnastics in Azerbaijan +Response: {"sentiment":"Neutral","postags":["NNS","IN","NNP"],"answer":"(list (name resource:Gymnastics_in_Azerbaijan))","lemma_tokens":["gymnastics","in","Azerbaijan"],"tokens":["gymnastics","in","azerbaijan"],"parse":"resource:Gymnastics_in_Azerbaijan","relations":{"(gymnastics,be in,Azerbaijan)":1.0},"type":"question"} + + +Utterance: Information Warfare Monitor +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Information_Warfare_Monitor))","lemma_tokens":["information","warfare","monitor"],"tokens":["information","warfare","monitor"],"parse":"resource:Information_Warfare_Monitor","relations":{},"type":"question"} + + +Utterance: Joint Personnel Recovery Agency +Response: {"sentiment":"Neutral","postags":["JJ","NNS","NN","NN"],"answer":"(list (name resource:Joint_Personnel_Recovery_Agency))","lemma_tokens":["joint","personnel","recovery","agency"],"tokens":["joint","personnel","recovery","agency"],"parse":"resource:Joint_Personnel_Recovery_Agency","relations":{},"type":"question"} + + +Utterance: Acoustic coupler +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Acoustic_coupler))","lemma_tokens":["acoustic","coupler"],"tokens":["acoustic","coupler"],"parse":"resource:Acoustic_coupler","relations":{},"type":"question"} + + +Utterance: AirPort +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Airport))","lemma_tokens":["airport"],"tokens":["airport"],"parse":"resource:Airport","relations":{},"type":"question"} + + +Utterance: Alliteration +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Alliteration))","lemma_tokens":["alliteration"],"tokens":["alliteration"],"parse":"resource:Alliteration","relations":{},"type":"question"} + + +Utterance: Audio codec +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Audio_codec))","lemma_tokens":["audio","codec"],"tokens":["audio","codec"],"parse":"resource:Audio_codec","relations":{},"type":"question"} + + +Utterance: Automatic call distributor +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:Automatic_call_distributor))","lemma_tokens":["automatic","call","distributor"],"tokens":["automatic","call","distributor"],"parse":"resource:Automatic_call_distributor","relations":{},"type":"question"} + + +Utterance: Bong +Response: {"sentiment":"Neutral","postags":["FW"],"answer":"(list (name resource:Bong))","lemma_tokens":["bong"],"tokens":["bong"],"parse":"resource:Bong","relations":{},"type":"question"} + + +Utterance: Carburetor +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Carburetor))","lemma_tokens":["carburetor"],"tokens":["carburetor"],"parse":"resource:Carburetor","relations":{},"type":"question"} + + +Utterance: Cash machine +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Cash_Machine))","lemma_tokens":["cash","machine"],"tokens":["cash","machine"],"parse":"resource:Cash_Machine","relations":{},"type":"question"} + + +Utterance: Channel service unit +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NN"],"answer":"(list (name resource:Channel_service_unit))","lemma_tokens":["Channel","service","unit"],"tokens":["channel","service","unit"],"parse":"resource:Channel_service_unit","relations":{},"type":"question"} + + +Utterance: Coupling +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Coupling))","lemma_tokens":["coupling"],"tokens":["coupling"],"parse":"resource:Coupling","relations":{},"type":"question"} + + +Utterance: Customer service unit +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Customer_service_unit))","lemma_tokens":["customer","service","unit"],"tokens":["customer","service","unit"],"parse":"resource:Customer_service_unit","relations":{},"type":"question"} + + +Utterance: Data forwarder +Response: {"sentiment":"Neutral","postags":["NNS","NN"],"answer":"(list (name resource:Data_forwarder))","lemma_tokens":["datum","forwarder"],"tokens":["data","forwarder"],"parse":"resource:Data_forwarder","relations":{},"type":"question"} + + +Utterance: Direct-access storage device +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN","NN"],"answer":"(list)","lemma_tokens":["direct","access","storage","device"],"tokens":["direct","access","storage","device"],"parse":"resource:Direct_Access_Storage_Device","relations":{},"type":"question"} + + +Utterance: Dosimeter +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Dosimeter))","lemma_tokens":["dosimeter"],"tokens":["dosimeter"],"parse":"resource:Dosimeter","relations":{},"type":"question"} + + +Utterance: Duplexer +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Duplexer))","lemma_tokens":["Duplexer"],"tokens":["duplexer"],"parse":"resource:Duplexer","relations":{},"type":"question"} + + +Utterance: Fishing reel +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Fishing_reel))","lemma_tokens":["fishing","reel"],"tokens":["fishing","reel"],"parse":"resource:Fishing_reel","relations":{},"type":"question"} + + +Utterance: Fusor +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Fusor))","lemma_tokens":["fusor"],"tokens":["fusor"],"parse":"resource:Fusor","relations":{},"type":"question"} + + +Utterance: GameCube +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name property:game))","lemma_tokens":["GameCube"],"tokens":["gamecube"],"parse":"property:game","relations":{},"type":"question"} + + +Utterance: Game Gear +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Game_Gear))","lemma_tokens":["game","gear"],"tokens":["game","gear"],"parse":"resource:Game_Gear","relations":{},"type":"question"} + + +Utterance: Gender changer +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Gender_changer))","lemma_tokens":["gender","changer"],"tokens":["gender","changer"],"parse":"resource:Gender_changer","relations":{},"type":"question"} + + +Utterance: Gladius +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Gladius))","lemma_tokens":["Gladius"],"tokens":["gladius"],"parse":"resource:Gladius","relations":{},"type":"question"} + + +Utterance: Heavy Equipment Transport System +Response: {"sentiment":"Negative","postags":["JJ","NN","NN","NN"],"answer":"(list (name resource:Heavy_Equipment_Transport_System))","lemma_tokens":["heavy","equipment","transport","system"],"tokens":["heavy","equipment","transport","system"],"parse":"resource:Heavy_Equipment_Transport_System","relations":{},"type":"question"} + + +Utterance: Heavy Expanded Mobility Tactical Truck +Response: {"sentiment":"Neutral","postags":["JJ","VBN","NN","JJ","NN"],"answer":"(list (name resource:Heavy_Expanded_Mobility_Tactical_Truck))","lemma_tokens":["heavy","expand","mobility","tactical","truck"],"tokens":["heavy","expanded","mobility","tactical","truck"],"parse":"resource:Heavy_Expanded_Mobility_Tactical_Truck","relations":{},"type":"question"} + + +Utterance: Invention +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Invention))","lemma_tokens":["invention"],"tokens":["invention"],"parse":"resource:Invention","relations":{},"type":"question"} + + +Utterance: Letter bomb +Response: {"sentiment":"Negative","postags":["NN","NN"],"answer":"(list (name resource:Letter_bomb))","lemma_tokens":["letter","bomb"],"tokens":["letter","bomb"],"parse":"resource:Letter_bomb","relations":{},"type":"question"} + + +Utterance: Light pen +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Light_pen))","lemma_tokens":["light","pen"],"tokens":["light","pen"],"parse":"resource:Light_pen","relations":{},"type":"question"} + + +Utterance: Loom +Response: {"sentiment":"Neutral","postags":["VB"],"answer":"(list (name resource:Loom))","lemma_tokens":["loom"],"tokens":["loom"],"parse":"resource:Loom","relations":{},"type":"question"} + + +Utterance: Mode scrambler +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Mode_scrambler))","lemma_tokens":["mode","scrambler"],"tokens":["mode","scrambler"],"parse":"resource:Mode_scrambler","relations":{},"type":"question"} + + +Utterance: Network interface device +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Network_interface_device))","lemma_tokens":["network","interface","device"],"tokens":["network","interface","device"],"parse":"resource:Network_interface_device","relations":{},"type":"question"} + + +Utterance: Network switch +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Network_switch))","lemma_tokens":["network","switch"],"tokens":["network","switch"],"parse":"resource:Network_switch","relations":{},"type":"question"} + + +Utterance: Nuclear explosive +Response: {"sentiment":"Positive","postags":["JJ","NN"],"answer":"(list (name resource:Nuclear_explosive))","lemma_tokens":["nuclear","explosive"],"tokens":["nuclear","explosive"],"parse":"resource:Nuclear_explosive","relations":{},"type":"question"} + + +Utterance: Optical amplifier +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Optical_amplifier))","lemma_tokens":["optical","amplifier"],"tokens":["optical","amplifier"],"parse":"resource:Optical_amplifier","relations":{},"type":"question"} + + +Utterance: PalmPilot +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:PalmPilot))","lemma_tokens":["palmpilot"],"tokens":["palmpilot"],"parse":"resource:PalmPilot","relations":{},"type":"question"} + + +Utterance: Parachute +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Parachute))","lemma_tokens":["parachute"],"tokens":["parachute"],"parse":"resource:Parachute","relations":{},"type":"question"} + + +Utterance: Photodiode +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Photodiode))","lemma_tokens":["Photodiode"],"tokens":["photodiode"],"parse":"resource:Photodiode","relations":{},"type":"question"} + + +Utterance: Photophone +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Photophone))","lemma_tokens":["Photophone"],"tokens":["photophone"],"parse":"resource:Photophone","relations":{},"type":"question"} + + +Utterance: Pulse link repeater +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name resource:Pulse_link_repeater))","lemma_tokens":["pulse","link","repeater"],"tokens":["pulse","link","repeater"],"parse":"resource:Pulse_link_repeater","relations":{},"type":"question"} + + +Utterance: Rapier +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Rapier))","lemma_tokens":["rapier"],"tokens":["rapier"],"parse":"resource:Rapier","relations":{},"type":"question"} + + +Utterance: Repeater +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Repeater))","lemma_tokens":["repeater"],"tokens":["repeater"],"parse":"resource:Repeater","relations":{},"type":"question"} + + +Utterance: Respirometer +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Respirometer))","lemma_tokens":["respirometer"],"tokens":["respirometer"],"parse":"resource:Respirometer","relations":{},"type":"question"} + + +Utterance: Scrambler +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Scrambler))","lemma_tokens":["scrambler"],"tokens":["scrambler"],"parse":"resource:Scrambler","relations":{},"type":"question"} + + +Utterance: Seat belt +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Seat_belt))","lemma_tokens":["seat","belt"],"tokens":["seat","belt"],"parse":"resource:Seat_belt","relations":{},"type":"question"} + + +Utterance: Sega CD +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(no answer)","lemma_tokens":["Sega","CD"],"tokens":["sega","cd"],"parse":"(no answer)","relations":{}} + + +Utterance: Sega Saturn +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Sega_Saturn))","lemma_tokens":["Sega","Saturn"],"tokens":["sega","saturn"],"parse":"resource:Sega_Saturn","relations":{},"type":"question"} + + +Utterance: Set-top box +Response: {"sentiment":"Positive","postags":["VBN","JJ","NN"],"answer":"(list)","lemma_tokens":["set","top","box"],"tokens":["set","top","box"],"parse":"resource:Set_Top_Box","relations":{},"type":"question"} + + +Utterance: Star coupler +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Star_coupler))","lemma_tokens":["Star","coupler"],"tokens":["star","coupler"],"parse":"resource:Star_coupler","relations":{},"type":"question"} + + +Utterance: Steam turbine +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list (name resource:Steam_turbine))","lemma_tokens":["steam","turbine"],"tokens":["steam","turbine"],"parse":"resource:Steam_turbine","relations":{},"type":"question"} + + +Utterance: Stellarator +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Stellarator))","lemma_tokens":["stellarator"],"tokens":["stellarator"],"parse":"resource:Stellarator","relations":{},"type":"question"} + + +Utterance: Stethoscope +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Stethoscope))","lemma_tokens":["stethoscope"],"tokens":["stethoscope"],"parse":"resource:Stethoscope","relations":{},"type":"question"} + + +Utterance: Szczerbiec +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Szczerbiec))","lemma_tokens":["Szczerbiec"],"tokens":["szczerbiec"],"parse":"resource:Szczerbiec","relations":{},"type":"question"} + + +Utterance: A-wing +Response: {"sentiment":"Neutral","postags":["DT","NN"],"answer":"(list (name resource:Detroit_Red_Wings))","lemma_tokens":["a","wing"],"tokens":["a","wing"],"parse":"resource:Detroit_Red_Wings","relations":{},"type":"question"} + + +Utterance: Anti-Masonic Party +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN"],"answer":"(list (name resource:Anti-Masonic_Party))","lemma_tokens":["anti","masonic","party"],"tokens":["anti","masonic","party"],"parse":"resource:Anti-Masonic_Party","relations":{},"type":"question"} + + +Utterance: Canadian Alliance +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Canadian_Alliance))","lemma_tokens":["canadian","alliance"],"tokens":["canadian","alliance"],"parse":"resource:Canadian_Alliance","relations":{},"type":"question"} + + +Utterance: Communist party +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Communist_Party_of_China))","lemma_tokens":["Communist","party"],"tokens":["communist","party"],"parse":"resource:Communist_Party_of_China","relations":{},"type":"question"} + + +Utterance: Democratic-Republican Party +Response: {"sentiment":"Neutral","postags":["JJ","NNP","NNP"],"answer":"(list)","lemma_tokens":["democratic","Republican","Party"],"tokens":["democratic","republican","party"],"parse":"resource:Democratic_Republican_Party","relations":{},"type":"question"} + + +Utterance: Democratic Left Alliance +Response: {"sentiment":"Neutral","postags":["JJ","VBN","NN"],"answer":"(list (name resource:Democratic_Left_Alliance))","lemma_tokens":["democratic","leave","alliance"],"tokens":["democratic","left","alliance"],"parse":"resource:Democratic_Left_Alliance","relations":{},"type":"question"} + + +Utterance: Federalist Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(no answer)","lemma_tokens":["Federalist","Party"],"tokens":["federalist","party"],"parse":"(no answer)","relations":{}} + + +Utterance: German Workers' Party +Response: {"sentiment":"Neutral","postags":["JJ","NNS","POS","NN"],"answer":"(list (name resource:Nazi_Party))","lemma_tokens":["german","worker","\u0027","party"],"tokens":["german","workers","\u0027","party"],"parse":"resource:Nazi_Party","relations":{},"type":"question"} + + +Utterance: Green Party of the United States +Response: {"sentiment":"Neutral","postags":["NNP","NNP","IN","DT","NNP","NNPS"],"answer":"(list (name resource:Green_Party_of_the_United_States))","lemma_tokens":["Green","Party","of","the","United","States"],"tokens":["green","party","of","the","united","states"],"parse":"resource:Green_Party_of_the_United_States","relations":{},"type":"question"} + + +Utterance: Iranian Green Movement +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN"],"answer":"(list (name resource:Iranian_Green_Movement))","lemma_tokens":["iranian","green","movement"],"tokens":["iranian","green","movement"],"parse":"resource:Iranian_Green_Movement","relations":{},"type":"question"} + + +Utterance: Labour United +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Labour_United))","lemma_tokens":["Labour","United"],"tokens":["labour","united"],"parse":"resource:Labour_United","relations":{},"type":"question"} + + +Utterance: Melody +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Melody))","lemma_tokens":["Melody"],"tokens":["melody"],"parse":"resource:Melody","relations":{},"type":"question"} + + +Utterance: Nationalist Party of Australia +Response: {"sentiment":"Neutral","postags":["JJ","NN","IN","NNP"],"answer":"(list (name resource:Nationalist_Party_of_Australia))","lemma_tokens":["nationalist","party","of","Australia"],"tokens":["nationalist","party","of","australia"],"parse":"resource:Nationalist_Party_of_Australia","relations":{},"type":"question"} + + +Utterance: People's Party for Freedom and Democracy +Response: {"sentiment":"Neutral","postags":["NNS","POS","NN","IN","NN","CC","NN"],"answer":"(string \"\")","lemma_tokens":["people","\u0027s","party","for","freedom","and","democracy"],"tokens":["people","\u0027s","party","for","freedom","and","democracy"],"parse":"\"OpenEntity\u0027people s party for freedom and democracy\u0027\u0027\"","relations":{"(people,have,party for freedom)":1.0},"type":"question"} + + +Utterance: Pim Fortuyn List +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NN"],"answer":"(list (name resource:Pim_Fortuyn_List))","lemma_tokens":["Pim","Fortuyn","list"],"tokens":["pim","fortuyn","list"],"parse":"resource:Pim_Fortuyn_List","relations":{},"type":"question"} + + +Utterance: Polish People's Party +Response: {"sentiment":"Neutral","postags":["JJ","NNS","POS","NN"],"answer":"(string \"\")","lemma_tokens":["polish","people","\u0027s","party"],"tokens":["polish","people","\u0027s","party"],"parse":"\"OpenEntity\u0027polish people s party\u0027\u0027\"","relations":{"(polish people,have,party)":1.0},"type":"question"} + + +Utterance: Polish United Workers' Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNPS","POS","NN"],"answer":"(no answer)","lemma_tokens":["Polish","United","Workers","\u0027","party"],"tokens":["polish","united","workers","\u0027","party"],"parse":"(no answer)","relations":{}} + + +Utterance: Rave +Response: {"sentiment":"Neutral","postags":["VB"],"answer":"(list (name resource:Rave))","lemma_tokens":["rave"],"tokens":["rave"],"parse":"resource:Rave","relations":{},"type":"question"} + + +Utterance: Red-green alliance +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN"],"answer":"(list)","lemma_tokens":["red","green","alliance"],"tokens":["red","green","alliance"],"parse":"resource:Red_Green_Alliance","relations":{},"type":"question"} + + +Utterance: Sandinista National Liberation Front +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP","NN"],"answer":"(list (name resource:Sandinista_National_Liberation_Front))","lemma_tokens":["Sandinista","National","Liberation","front"],"tokens":["sandinista","national","liberation","front"],"parse":"resource:Sandinista_National_Liberation_Front","relations":{},"type":"question"} + + +Utterance: Solidarity Electoral Action +Response: {"sentiment":"Negative","postags":["NNP","NNP","NN"],"answer":"(list (name resource:Solidarity_Electoral_Action))","lemma_tokens":["Solidarity","Electoral","action"],"tokens":["solidarity","electoral","action"],"parse":"resource:Solidarity_Electoral_Action","relations":{},"type":"question"} + + +Utterance: United Australia Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:United_Australia_Party))","lemma_tokens":["United","Australia","Party"],"tokens":["united","australia","party"],"parse":"resource:United_Australia_Party","relations":{},"type":"question"} + + +Utterance: Wedding reception +Response: {"sentiment":"Positive","postags":["NN","NN"],"answer":"(list (name resource:Wedding_reception))","lemma_tokens":["wedding","reception"],"tokens":["wedding","reception"],"parse":"resource:Wedding_reception","relations":{},"type":"question"} + + +Utterance: Y-wing +Response: {"sentiment":"Neutral","postags":["NN","NN"],"answer":"(list)","lemma_tokens":["y","wing"],"tokens":["y","wing"],"parse":"resource:Y_Wing","relations":{},"type":"question"} + + +Utterance: Anti H-Block +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list)","lemma_tokens":["anti","h","block"],"tokens":["anti","h","block"],"parse":"resource:Anti_H_Block","relations":{},"type":"question"} + + +Utterance: Freedom Alliance Party of Liberia +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP","IN","NNP"],"answer":"(list (name resource:Freedom_Alliance_Party_of_Liberia))","lemma_tokens":["Freedom","Alliance","Party","of","Liberia"],"tokens":["freedom","alliance","party","of","liberia"],"parse":"resource:Freedom_Alliance_Party_of_Liberia","relations":{},"type":"question"} + + +Utterance: Katter's Australian Party +Response: {"sentiment":"Neutral","postags":["NNP","POS","NNP","NNP"],"answer":"(string \"\")","lemma_tokens":["Katter","\u0027s","Australian","Party"],"tokens":["katter","\u0027s","australian","party"],"parse":"\"OpenEntity\u0027katter s australian party\u0027\u0027\"","relations":{"(Katter,have,Australian Party)":1.0},"type":"question"} + + +Utterance: Liberal and Country League +Response: {"sentiment":"Neutral","postags":["JJ","CC","NN","NN"],"answer":"(list (name resource:Liberal_and_Country_League))","lemma_tokens":["liberal","and","country","league"],"tokens":["liberal","and","country","league"],"parse":"resource:Liberal_and_Country_League","relations":{},"type":"question"} + + +Utterance: Mazdoor Kisan Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Mazdoor_Kisan_Party))","lemma_tokens":["Mazdoor","Kisan","Party"],"tokens":["mazdoor","kisan","party"],"parse":"resource:Mazdoor_Kisan_Party","relations":{},"type":"question"} + + +Utterance: Redeemers +Response: {"sentiment":"Neutral","postags":["NNS"],"answer":"(list (name resource:Redeemers))","lemma_tokens":["redeemer"],"tokens":["redeemers"],"parse":"resource:Redeemers","relations":{},"type":"question"} + + +Utterance: Syrian National Council +Response: {"sentiment":"Neutral","postags":["JJ","NNP","NNP"],"answer":"(list (name resource:Syrian_National_Council))","lemma_tokens":["syrian","National","Council"],"tokens":["syrian","national","council"],"parse":"resource:Syrian_National_Council","relations":{},"type":"question"} + + +Utterance: Unidad Falangista Montañesa +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list)","lemma_tokens":["Unidad","Falangista","Montañesa"],"tokens":["unidad","falangista","montañesa"],"parse":"resource:Unidad_Falangista_Monta�esa","relations":{},"type":"question"} + + +Utterance: White Defence League +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:White_Defence_League))","lemma_tokens":["White","Defence","League"],"tokens":["white","defence","league"],"parse":"resource:White_Defence_League","relations":{},"type":"question"} + + +Utterance: AMIN Worldwide +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:AMIN_Worldwide))","lemma_tokens":["AMIN","Worldwide"],"tokens":["amin","worldwide"],"parse":"resource:AMIN_Worldwide","relations":{},"type":"question"} + + +Utterance: Al-Aqsa Martyrs' Brigades +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNS","POS","NNS"],"answer":"(no answer)","lemma_tokens":["Al","Aqsa","martyr","\u0027","brigade"],"tokens":["al","aqsa","martyrs","\u0027","brigades"],"parse":"(no answer)","relations":{}} + + +Utterance: All Burma Monks' Alliance +Response: {"sentiment":"Neutral","postags":["DT","NN","NN","\u0027\u0027","NN"],"answer":"(no answer)","lemma_tokens":["all","burma","monks","\u0027","alliance"],"tokens":["all","burma","monks","\u0027","alliance"],"parse":"(no answer)","relations":{}} + + +Utterance: All Ceylon Tamil Congress +Response: {"sentiment":"Neutral","postags":["DT","NNP","NNP","NNP"],"answer":"(list (name resource:All_Ceylon_Tamil_Congress))","lemma_tokens":["all","Ceylon","Tamil","Congress"],"tokens":["all","ceylon","tamil","congress"],"parse":"resource:All_Ceylon_Tamil_Congress","relations":{},"type":"question"} + + +Utterance: Asom Bharatiya Janata Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP","NNP"],"answer":"(list (name resource:Asom_Bharatiya_Janata_Party))","lemma_tokens":["Asom","Bharatiya","Janata","Party"],"tokens":["asom","bharatiya","janata","party"],"parse":"resource:Asom_Bharatiya_Janata_Party","relations":{},"type":"question"} + + +Utterance: BGO Gemini +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:BGO_Gemini))","lemma_tokens":["BGO","Gemini"],"tokens":["bgo","gemini"],"parse":"resource:BGO_Gemini","relations":{},"type":"question"} + + +Utterance: Baluchistan People's Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","POS","NN"],"answer":"(string \"\")","lemma_tokens":["Baluchistan","People","\u0027s","party"],"tokens":["baluchistan","people","\u0027s","party"],"parse":"\"OpenEntity\u0027baluchistan people s party\u0027\u0027\"","relations":{"(Baluchistan People,have,party)":1.0},"type":"question"} + + +Utterance: Bavarian People's Party +Response: {"sentiment":"Neutral","postags":["JJ","NNS","POS","NN"],"answer":"(string \"\")","lemma_tokens":["bavarian","people","\u0027s","party"],"tokens":["bavarian","people","\u0027s","party"],"parse":"\"OpenEntity\u0027bavarian people s party\u0027\u0027\"","relations":{"(bavarian people,have,party)":1.0},"type":"question"} + + +Utterance: Bessarabian Peasants' Party +Response: {"sentiment":"Neutral","postags":["NNP","NNPS","POS","NN"],"answer":"(no answer)","lemma_tokens":["Bessarabian","Peasants","\u0027","party"],"tokens":["bessarabian","peasants","\u0027","party"],"parse":"(no answer)","relations":{}} + + +Utterance: Bharatiya Jan Congress +Response: {"sentiment":"Neutral","postags":["NNP","NNP","NNP"],"answer":"(list (name resource:Bharatiya_Jan_Congress))","lemma_tokens":["Bharatiya","Jan","Congress"],"tokens":["bharatiya","jan","congress"],"parse":"resource:Bharatiya_Jan_Congress","relations":{},"type":"question"} + + +Utterance: Bhutan Peoples' Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","POS","NN"],"answer":"(no answer)","lemma_tokens":["Bhutan","Peoples","\u0027","party"],"tokens":["bhutan","peoples","\u0027","party"],"parse":"(no answer)","relations":{}} + + +Utterance: Bihar People's Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","POS","NN"],"answer":"(string \"\")","lemma_tokens":["Bihar","People","\u0027s","party"],"tokens":["bihar","people","\u0027s","party"],"parse":"\"OpenEntity\u0027bihar people s party\u0027\u0027\"","relations":{"(Bihar People,have,party)":1.0},"type":"question"} + + +Utterance: Blue Dog Coalition +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:Blue_Dog_Coalition))","lemma_tokens":["blue","dog","coalition"],"tokens":["blue","dog","coalition"],"parse":"resource:Blue_Dog_Coalition","relations":{},"type":"question"} + + +Utterance: Botswana People's Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","POS","NN"],"answer":"(string \"\")","lemma_tokens":["Botswana","People","\u0027s","party"],"tokens":["botswana","people","\u0027s","party"],"parse":"\"OpenEntity\u0027botswana people s party\u0027\u0027\"","relations":{"(Botswana People,have,party)":1.0},"type":"question"} + + +Utterance: Brunei People's Party +Response: {"sentiment":"Neutral","postags":["NNP","NNP","POS","NN"],"answer":"(no answer)","lemma_tokens":["Brunei","People","\u0027s","party"],"tokens":["brunei","people","\u0027s","party"],"parse":"(no answer)","relations":{"(Brunei People,have,party)":1.0}} + + +Utterance: Cantabrian Nationalist Council +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN"],"answer":"(list (name resource:Cantabrian_Nationalist_Council))","lemma_tokens":["cantabrian","nationalist","council"],"tokens":["cantabrian","nationalist","council"],"parse":"resource:Cantabrian_Nationalist_Council","relations":{},"type":"question"} + + +Utterance: Central Maryland Transportation Alliance +Response: {"sentiment":"Neutral","postags":["JJ","NNP","NNP","NNP"],"answer":"(list (name resource:Central_Maryland_Transportation_Alliance))","lemma_tokens":["central","Maryland","Transportation","Alliance"],"tokens":["central","maryland","transportation","alliance"],"parse":"resource:Central_Maryland_Transportation_Alliance","relations":{},"type":"question"} + + +Utterance: AIML +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:AIML))","lemma_tokens":["aiml"],"tokens":["aiml"],"parse":"resource:AIML","relations":{},"type":"question"} + + +Utterance: Akkadian language +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Akkadian_language))","lemma_tokens":["akkadian","language"],"tokens":["akkadian","language"],"parse":"resource:Akkadian_language","relations":{},"type":"question"} + + +Utterance: Analytic language +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Analytic_language))","lemma_tokens":["analytic","language"],"tokens":["analytic","language"],"parse":"resource:Analytic_language","relations":{},"type":"question"} + + +Utterance: AutoLISP +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:AutoLISP))","lemma_tokens":["autolisp"],"tokens":["autolisp"],"parse":"resource:AutoLISP","relations":{},"type":"question"} + + +Utterance: BBC BASIC +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:BBC_BASIC))","lemma_tokens":["BBC","BASIC"],"tokens":["bbc","basic"],"parse":"resource:BBC_BASIC","relations":{},"type":"question"} + + +Utterance: Befunge +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Befunge))","lemma_tokens":["Befunge"],"tokens":["befunge"],"parse":"resource:Befunge","relations":{},"type":"question"} + + +Utterance: British Sign Language +Response: {"sentiment":"Neutral","postags":["JJ","NN","NN"],"answer":"(list (name resource:British_Sign_Language))","lemma_tokens":["british","sign","language"],"tokens":["british","sign","language"],"parse":"resource:British_Sign_Language","relations":{},"type":"question"} + + +Utterance: Colloquial Finnish +Response: {"sentiment":"Neutral","postags":["JJ","JJ"],"answer":"(list (name resource:Colloquial_Finnish))","lemma_tokens":["colloquial","finnish"],"tokens":["colloquial","finnish"],"parse":"resource:Colloquial_Finnish","relations":{},"type":"question"} + + +Utterance: Common Intermediate Language +Response: {"sentiment":"Neutral","postags":["JJ","JJ","NN"],"answer":"(list (name resource:Common_Intermediate_Language))","lemma_tokens":["common","intermediate","language"],"tokens":["common","intermediate","language"],"parse":"resource:Common_Intermediate_Language","relations":{},"type":"question"} + + +Utterance: Cree language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Cree_language))","lemma_tokens":["Cree","language"],"tokens":["cree","language"],"parse":"resource:Cree_language","relations":{},"type":"question"} + + +Utterance: Creole language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Creole_language))","lemma_tokens":["Creole","language"],"tokens":["creole","language"],"parse":"resource:Creole_language","relations":{},"type":"question"} + + +Utterance: Curl (programming language) +Response: {"sentiment":"Neutral","postags":["VB","-LRB-","NN","NN","-RRB-"],"answer":"(string \"\")","lemma_tokens":["curl","-lrb-","programming","language","-rrb-"],"tokens":["curl","-lrb-","programming","language","-rrb-"],"parse":"\"OpenEntity\u0027curl -lrb- programming language -rrb-\u0027\u0027\"","relations":{},"type":"question"} + + +Utterance: DATR +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:DATR))","lemma_tokens":["datr"],"tokens":["datr"],"parse":"resource:DATR","relations":{},"type":"question"} + + +Utterance: Dari language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Dari_language))","lemma_tokens":["Dari","language"],"tokens":["dari","language"],"parse":"resource:Dari_language","relations":{},"type":"question"} + + +Utterance: Dida language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Dida_language))","lemma_tokens":["Dida","language"],"tokens":["dida","language"],"parse":"resource:Dida_language","relations":{},"type":"question"} + + +Utterance: DocBook +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:DocBook))","lemma_tokens":["docbook"],"tokens":["docbook"],"parse":"resource:DocBook","relations":{},"type":"question"} + + +Utterance: Duala language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Duala_language))","lemma_tokens":["Duala","language"],"tokens":["duala","language"],"parse":"resource:Duala_language","relations":{},"type":"question"} + + +Utterance: Hakka Chinese +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Hakka_Chinese))","lemma_tokens":["Hakka","Chinese"],"tokens":["hakka","chinese"],"parse":"resource:Hakka_Chinese","relations":{},"type":"question"} + + +Utterance: Igbo language +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Igbo_language))","lemma_tokens":["igbo","language"],"tokens":["igbo","language"],"parse":"resource:Igbo_language","relations":{},"type":"question"} + + +Utterance: Indonesian language +Response: {"sentiment":"Neutral","postags":["JJ","NN"],"answer":"(list (name resource:Indonesian_language))","lemma_tokens":["indonesian","language"],"tokens":["indonesian","language"],"parse":"resource:Indonesian_language","relations":{},"type":"question"} + + +Utterance: International Sign +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:International_Sign))","lemma_tokens":["International","sign"],"tokens":["international","sign"],"parse":"resource:International_Sign","relations":{},"type":"question"} + + +Utterance: Jargon +Response: {"sentiment":"Neutral","postags":["NN"],"answer":"(list (name resource:Jargon))","lemma_tokens":["jargon"],"tokens":["jargon"],"parse":"resource:Jargon","relations":{},"type":"question"} + + +Utterance: Kannada +Response: {"sentiment":"Neutral","postags":["NNP"],"answer":"(list (name resource:Kannada))","lemma_tokens":["Kannada"],"tokens":["kannada"],"parse":"resource:Kannada","relations":{},"type":"question"} + + +Utterance: Kurdish languages +Response: {"sentiment":"Neutral","postags":["JJ","NNS"],"answer":"(list (name resource:Western_Iranian_languages))","lemma_tokens":["kurdish","language"],"tokens":["kurdish","languages"],"parse":"resource:Western_Iranian_languages","relations":{},"type":"question"} + + +Utterance: Ladin language +Response: {"sentiment":"Neutral","postags":["NNP","NN"],"answer":"(list (name resource:Ladin_language))","lemma_tokens":["Ladin","language"],"tokens":["ladin","language"],"parse":"resource:Ladin_language","relations":{},"type":"question"} + + +Utterance: Liberty BASIC +Response: {"sentiment":"Neutral","postags":["NNP","NNP"],"answer":"(list (name resource:Liberty_BASIC))","lemma_tokens":["Liberty","BASIC"],"tokens":["liberty","basic"],"parse":"resource:Liberty_BASIC","relations":{},"type":"question"} + + +Utterance: Lisp Machine Lisp +Response: {"sentiment":"Neutral","postags":["NN","NN","NN"],"answer":"(list (name 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"http://dbpedia.org/ontology/Agglomeration", "type": "ClassNoun"}, + {"lexeme": "aircraft", "formula": "http://dbpedia.org/ontology/Aircraft", "type": "ClassNoun"}, + {"lexeme": "airline", "formula": "http://dbpedia.org/ontology/Airline", "type": "ClassNoun"}, + {"lexeme": "airport", "formula": "http://dbpedia.org/ontology/Airport", "type": "ClassNoun"}, + {"lexeme": "album", "formula": "http://dbpedia.org/ontology/Album", "type": "ClassNoun"}, + {"lexeme": "altitude", "formula": "http://dbpedia.org/ontology/Altitude", "type": "ClassNoun"}, + {"lexeme": "amateur boxer", "formula": "http://dbpedia.org/ontology/AmateurBoxer", "type": "ClassNoun"}, + {"lexeme": "ambassador", "formula": "http://dbpedia.org/ontology/Ambassador", "type": "ClassNoun"}, + {"lexeme": "american football coach", "formula": "http://dbpedia.org/ontology/AmericanFootballCoach", "type": "ClassNoun"}, + {"lexeme": "american football league", "formula": "http://dbpedia.org/ontology/AmericanFootballLeague", "type": "ClassNoun"}, + {"lexeme": "american football player", "formula": "http://dbpedia.org/ontology/AmericanFootballPlayer", "type": "ClassNoun"}, + {"lexeme": "american football Team", "formula": "http://dbpedia.org/ontology/AmericanFootballTeam", "type": "ClassNoun"}, + {"lexeme": "amphibian", "formula": "http://dbpedia.org/ontology/Amphibian", "type": "ClassNoun"}, + {"lexeme": "amusement park attraction", "formula": "http://dbpedia.org/ontology/AmusementParkAttraction", "type": "ClassNoun"}, + {"lexeme": "anatomical structure", "formula": "http://dbpedia.org/ontology/AnatomicalStructure", "type": "ClassNoun"}, + {"lexeme": "animal", "formula": "http://dbpedia.org/ontology/Animal", "type": "ClassNoun"}, + {"lexeme": "animanga character", "formula": "http://dbpedia.org/ontology/AnimangaCharacter", "type": "ClassNoun"}, + {"lexeme": "Anime", "formula": "http://dbpedia.org/ontology/Anime", "type": "ClassNoun"}, + {"lexeme": "Annotation", "formula": "http://dbpedia.org/ontology/Annotation", "type": "ClassNoun"}, + {"lexeme": "arachnid", "formula": "http://dbpedia.org/ontology/Arachnid", "type": "ClassNoun"}, + {"lexeme": "archaea", "formula": "http://dbpedia.org/ontology/Archaea", "type": "ClassNoun"}, + {"lexeme": "archeologist", "formula": "http://dbpedia.org/ontology/Archeologist", "type": "ClassNoun"}, + {"lexeme": "Archer Player", "formula": "http://dbpedia.org/ontology/ArcherPlayer", "type": "ClassNoun"}, + {"lexeme": "archipelago", "formula": "http://dbpedia.org/ontology/Archipelago", "type": "ClassNoun"}, + {"lexeme": "architect", "formula": "http://dbpedia.org/ontology/Architect", "type": "ClassNoun"}, + {"lexeme": "architectural structure", "formula": "http://dbpedia.org/ontology/ArchitecturalStructure", "type": "ClassNoun"}, + {"lexeme": "Archive", "formula": "http://dbpedia.org/ontology/Archive", "type": "ClassNoun"}, + {"lexeme": "area", "formula": "http://dbpedia.org/ontology/Area", "type": "ClassNoun"}, + {"lexeme": "arena", "formula": "http://dbpedia.org/ontology/Arena", "type": "ClassNoun"}, + {"lexeme": "aristocrat", "formula": "http://dbpedia.org/ontology/Aristocrat", "type": "ClassNoun"}, + {"lexeme": "arrondissement", "formula": "http://dbpedia.org/ontology/Arrondissement", "type": "ClassNoun"}, + {"lexeme": "artery", "formula": "http://dbpedia.org/ontology/Artery", "type": "ClassNoun"}, + {"lexeme": "article", "formula": "http://dbpedia.org/ontology/Article", "type": "ClassNoun"}, + {"lexeme": "ArtificialSatellite", "formula": "http://dbpedia.org/ontology/ArtificialSatellite", "type": "ClassNoun"}, + {"lexeme": "artist", "formula": "http://dbpedia.org/ontology/Artist", "type": "ClassNoun"}, + {"lexeme": "artist discography", "formula": "http://dbpedia.org/ontology/ArtistDiscography", "type": "ClassNoun"}, + {"lexeme": "artistic genre", "formula": "http://dbpedia.org/ontology/ArtisticGenre", "type": "ClassNoun"}, + {"lexeme": "artwork", "formula": "http://dbpedia.org/ontology/Artwork", "type": "ClassNoun"}, + {"lexeme": "asteroid", "formula": "http://dbpedia.org/ontology/Asteroid", "type": "ClassNoun"}, + {"lexeme": "astronaut", "formula": "http://dbpedia.org/ontology/Astronaut", "type": "ClassNoun"}, + {"lexeme": "athlete", "formula": "http://dbpedia.org/ontology/Athlete", "type": "ClassNoun"}, + {"lexeme": "athletics", "formula": "http://dbpedia.org/ontology/Athletics", "type": "ClassNoun"}, + {"lexeme": "athletics player", "formula": "http://dbpedia.org/ontology/AthleticsPlayer", "type": "ClassNoun"}, + {"lexeme": "atoll", "formula": "http://dbpedia.org/ontology/Atoll", "type": "ClassNoun"}, + {"lexeme": "attack", "formula": "http://dbpedia.org/ontology/Attack", "type": "ClassNoun"}, + {"lexeme": "australian football league", "formula": "http://dbpedia.org/ontology/AustralianFootballLeague", "type": "ClassNoun"}, + {"lexeme": "australian football Team", "formula": "http://dbpedia.org/ontology/AustralianFootballTeam", "type": "ClassNoun"}, + {"lexeme": "Australian rules football player", "formula": "http://dbpedia.org/ontology/AustralianRulesFootballPlayer", "type": "ClassNoun"}, + {"lexeme": "auto racing league", "formula": "http://dbpedia.org/ontology/AutoRacingLeague", "type": "ClassNoun"}, + {"lexeme": "automobile", "formula": "http://dbpedia.org/ontology/Automobile", "type": "ClassNoun"}, + {"lexeme": "automobile engine", "formula": "http://dbpedia.org/ontology/AutomobileEngine", "type": "ClassNoun"}, + {"lexeme": "award", "formula": "http://dbpedia.org/ontology/Award", "type": "ClassNoun"}, + {"lexeme": "back scene", "formula": "http://dbpedia.org/ontology/BackScene", "type": "ClassNoun"}, + {"lexeme": "bacteria", "formula": "http://dbpedia.org/ontology/Bacteria", "type": "ClassNoun"}, + {"lexeme": "badminton player", "formula": "http://dbpedia.org/ontology/BadmintonPlayer", "type": "ClassNoun"}, + {"lexeme": "Band", "formula": "http://dbpedia.org/ontology/Band", "type": "ClassNoun"}, + {"lexeme": "bank", "formula": "http://dbpedia.org/ontology/Bank", "type": "ClassNoun"}, + {"lexeme": "baronet", "formula": "http://dbpedia.org/ontology/Baronet", "type": "ClassNoun"}, + {"lexeme": "baseball league", "formula": "http://dbpedia.org/ontology/BaseballLeague", "type": "ClassNoun"}, + {"lexeme": "baseball player", "formula": "http://dbpedia.org/ontology/BaseballPlayer", "type": "ClassNoun"}, + {"lexeme": "baseball season", "formula": "http://dbpedia.org/ontology/BaseballSeason", "type": "ClassNoun"}, + {"lexeme": "baseball team", "formula": "http://dbpedia.org/ontology/BaseballTeam", "type": "ClassNoun"}, + {"lexeme": "basketball league", "formula": "http://dbpedia.org/ontology/BasketballLeague", "type": "ClassNoun"}, + {"lexeme": "basketball player", "formula": "http://dbpedia.org/ontology/BasketballPlayer", "type": "ClassNoun"}, + {"lexeme": "basketball team", "formula": "http://dbpedia.org/ontology/BasketballTeam", "type": "ClassNoun"}, + {"lexeme": "bay", "formula": "http://dbpedia.org/ontology/Bay", "type": "ClassNoun"}, + {"lexeme": "beach", "formula": "http://dbpedia.org/ontology/Beach", "type": "ClassNoun"}, + {"lexeme": "beach volleyball player", "formula": "http://dbpedia.org/ontology/BeachVolleyballPlayer", "type": "ClassNoun"}, + {"lexeme": "beauty queen", "formula": "http://dbpedia.org/ontology/BeautyQueen", "type": "ClassNoun"}, + {"lexeme": "beer", "formula": "http://dbpedia.org/ontology/Beer", "type": "ClassNoun"}, + {"lexeme": "beverage", "formula": "http://dbpedia.org/ontology/Beverage", "type": "ClassNoun"}, + {"lexeme": "Biathlete", "formula": "http://dbpedia.org/ontology/Biathlete", "type": "ClassNoun"}, + {"lexeme": "Biological database", "formula": "http://dbpedia.org/ontology/BiologicalDatabase", "type": "ClassNoun"}, + {"lexeme": "biologist", "formula": "http://dbpedia.org/ontology/Biologist", "type": "ClassNoun"}, + {"lexeme": "Biomolecule", "formula": "http://dbpedia.org/ontology/Biomolecule", "type": "ClassNoun"}, + {"lexeme": "bird", "formula": "http://dbpedia.org/ontology/Bird", "type": "ClassNoun"}, + {"lexeme": "birth", "formula": "http://dbpedia.org/ontology/Birth", "type": "ClassNoun"}, + {"lexeme": "Blazon", "formula": "http://dbpedia.org/ontology/Blazon", "type": "ClassNoun"}, + {"lexeme": "blood vessel", "formula": "http://dbpedia.org/ontology/BloodVessel", "type": "ClassNoun"}, + {"lexeme": "board game", "formula": "http://dbpedia.org/ontology/BoardGame", "type": "ClassNoun"} +] diff --git a/data/error_test/process-data.py b/data/error_test/process-data.py new file mode 100644 index 0000000..b653a9f --- /dev/null +++ b/data/error_test/process-data.py @@ -0,0 +1,23 @@ +#!/usr/bin/python +import glob, os +import json +from pprint import pprint +import codecs +import sys + +path = "./relations" +output = open("relations.json", "w") + +output.write("[") +for filename in os.listdir(path): + input = open(path + "/" + filename, "r") + content = input.readlines() + for line in content: + dict = {} + print line + dict["lexeme"]=line[1:line.index(";")-1] + dict["formula"]=line[line.index(";")+1:] + dict["type"]="Property"; + output.write(str(dict)) + output.write(",\n") +output.write("]") diff --git a/data/error_test/relations.json b/data/error_test/relations.json new file mode 100644 index 0000000..c73e1e2 --- /dev/null +++ b/data/error_test/relations.json @@ -0,0 +1,201 @@ +[{"lexeme": "death place", "formula": "http://dbpedia.org/ontology/deathPlace", "type": "Property"}, +{"lexeme": "birth place", "formula": "http://dbpedia.org/ontology/birthPlace", "type": "Property"}, +{"lexeme": "academic advisor", "formula": "http://dbpedia.org/ontology/academicAdvisor", "type": "Property"}, +{"lexeme": "academic discipline", "formula": "http://dbpedia.org/ontology/academicDiscipline", "type": "Property"}, +{"lexeme": "Academy Award", "formula": "http://dbpedia.org/ontology/academyAward", "type": "Property"}, +{"lexeme": "achievement", "formula": "http://dbpedia.org/ontology/achievement", "type": "Property"}, +{"lexeme": "ACT score", "formula": "http://dbpedia.org/ontology/actScore", "type": "Property"}, +{"lexeme": "acting headteacher", "formula": "http://dbpedia.org/ontology/actingHeadteacher", "type": "Property"}, +{"lexeme": "activity", "formula": "http://dbpedia.org/ontology/activity", "type": "Property"}, +{"lexeme": "address in road", "formula": "http://dbpedia.org/ontology/addressInRoad", "type": "Property"}, +{"lexeme": "adjacent settlement of a switzerland settlement", "formula": "http://dbpedia.org/ontology/adjacentSettlement", "type": "Property"}, +{"lexeme": "administrative center", "formula": "http://dbpedia.org/ontology/administrativeCenter", "type": "Property"}, +{"lexeme": "administrative collectivity", "formula": "http://dbpedia.org/ontology/administrativeCollectivity", "type": "Property"}, +{"lexeme": "administrative district", "formula": "http://dbpedia.org/ontology/administrativeDistrict", "type": "Property"}, +{"lexeme": "head city", "formula": "http://dbpedia.org/ontology/administrativeHeadCity", "type": "Property"}, +{"lexeme": "administrator", "formula": "http://dbpedia.org/ontology/administrator", "type": "Property"}, +{"lexeme": "affiliation", "formula": "http://dbpedia.org/ontology/affiliation", "type": "Property"}, +{"lexeme": "AFI Award", "formula": "http://dbpedia.org/ontology/afiAward", "type": "Property"}, +{"lexeme": "agency", "formula": "http://dbpedia.org/ontology/agency", "type": "Property"}, +{"lexeme": "agglomeration", "formula": "http://dbpedia.org/ontology/agglomeration", "type": "Property"}, +{"lexeme": "agglomeration area", "formula": "http://dbpedia.org/ontology/agglomerationArea", "type": "Property"}, +{"lexeme": "agglomeration demographics", "formula": "http://dbpedia.org/ontology/agglomerationDemographics", "type": "Property"}, +{"lexeme": "agglomeration population", "formula": "http://dbpedia.org/ontology/agglomerationPopulation", "type": "Property"}, +{"lexeme": "aircraft attack", "formula": "http://dbpedia.org/ontology/aircraftAttack", "type": "Property"}, +{"lexeme": "aircraft bomber", "formula": "http://dbpedia.org/ontology/aircraftBomber", "type": "Property"}, +{"lexeme": "aircraft electronic", "formula": "http://dbpedia.org/ontology/aircraftElectronic", "type": "Property"}, +{"lexeme": "aircraft fighter", "formula": "http://dbpedia.org/ontology/aircraftFighter", "type": "Property"}, +{"lexeme": "aircraft helicopter", "formula": "http://dbpedia.org/ontology/aircraftHelicopter", "type": "Property"}, +{"lexeme": "aircraft helicopter attack", "formula": "http://dbpedia.org/ontology/aircraftHelicopterAttack", "type": "Property"}, +{"lexeme": "aircraft helicopter cargo", "formula": "http://dbpedia.org/ontology/aircraftHelicopterCargo", "type": "Property"}, +{"lexeme": "aircraft helicopter multirole", "formula": "http://dbpedia.org/ontology/aircraftHelicopterMultirole", "type": "Property"}, +{"lexeme": "aircraft helicopter observation", "formula": "http://dbpedia.org/ontology/aircraftHelicopterObservation", "type": "Property"}, +{"lexeme": "aircraft helicopter transport", "formula": "http://dbpedia.org/ontology/aircraftHelicopterTransport", "type": "Property"}, +{"lexeme": "aircraft helicopter utility", "formula": "http://dbpedia.org/ontology/aircraftHelicopterUtility", "type": "Property"}, +{"lexeme": "aircraft interceptor", "formula": "http://dbpedia.org/ontology/aircraftInterceptor", "type": "Property"}, +{"lexeme": "aircraft patrol", "formula": "http://dbpedia.org/ontology/aircraftPatrol", "type": "Property"}, +{"lexeme": "aircraft recon", "formula": "http://dbpedia.org/ontology/aircraftRecon", "type": "Property"}, +{"lexeme": "aircraft trainer", "formula": "http://dbpedia.org/ontology/aircraftTrainer", "type": "Property"}, +{"lexeme": "aircraft transport", "formula": "http://dbpedia.org/ontology/aircraftTransport", "type": "Property"}, +{"lexeme": "aircraft user", "formula": "http://dbpedia.org/ontology/aircraftUser", "type": "Property"}, +{"lexeme": "album", "formula": "http://dbpedia.org/ontology/album", "type": "Property"}, +{"lexeme": "alliance", "formula": "http://dbpedia.org/ontology/alliance", "type": "Property"}, +{"lexeme": "alma mater", "formula": "http://dbpedia.org/ontology/almaMater", "type": "Property"}, +{"lexeme": "alongside", "formula": "http://dbpedia.org/ontology/alongside", "type": "Property"}, +{"lexeme": "Alps group", "formula": "http://dbpedia.org/ontology/alpsGroup", "type": "Property"}, +{"lexeme": "Alps main part", "formula": "http://dbpedia.org/ontology/alpsMainPart", "type": "Property"}, +{"lexeme": "Alps major sector", "formula": "http://dbpedia.org/ontology/alpsMajorSector", "type": "Property"}, +{"lexeme": "Alps section", "formula": "http://dbpedia.org/ontology/alpsSection", "type": "Property"}, +{"lexeme": "Alps subgroup", "formula": "http://dbpedia.org/ontology/alpsSubgroup", "type": "Property"}, +{"lexeme": "Alps subsection", "formula": "http://dbpedia.org/ontology/alpsSubsection", "type": "Property"}, +{"lexeme": "Alps supergroup", "formula": "http://dbpedia.org/ontology/alpsSupergroup", "type": "Property"}, +{"lexeme": "altitude", "formula": "http://dbpedia.org/ontology/altitude", "type": "Property"}, +{"lexeme": "alumni", "formula": "http://dbpedia.org/ontology/alumni", "type": "Property"}, +{"lexeme": "amateur team", "formula": "http://dbpedia.org/ontology/amateurTeam", "type": "Property"}, +{"lexeme": "American Comedy Award", "formula": "http://dbpedia.org/ontology/americanComedyAward", "type": "Property"}, +{"lexeme": "animal", "formula": "http://dbpedia.org/ontology/animal", "type": "Property"}, +{"lexeme": "animator", "formula": "http://dbpedia.org/ontology/animator", "type": "Property"}, +{"lexeme": "announcedFrom", "formula": "http://dbpedia.org/ontology/announcedFrom", "type": "Property"}, +{"lexeme": "anthem", "formula": "http://dbpedia.org/ontology/anthem", "type": "Property"}, +{"lexeme": "apc president", "formula": "http://dbpedia.org/ontology/apcPresident", "type": "Property"}, +{"lexeme": "appointer", "formula": "http://dbpedia.org/ontology/appointer", "type": "Property"}, +{"lexeme": "approach", "formula": "http://dbpedia.org/ontology/approach", "type": "Property"}, +{"lexeme": "archipelago", "formula": "http://dbpedia.org/ontology/archipelago", "type": "Property"}, +{"lexeme": "architect", "formula": "http://dbpedia.org/ontology/architect", "type": "Property"}, +{"lexeme": "architectual bureau", "formula": "http://dbpedia.org/ontology/architectualBureau", "type": "Property"}, +{"lexeme": "architectural style", "formula": "http://dbpedia.org/ontology/architecturalStyle", "type": "Property"}, +{"lexeme": "area of search", "formula": "http://dbpedia.org/ontology/areaOfSearch", "type": "Property"}, +{"lexeme": "Ariel Award", "formula": "http://dbpedia.org/ontology/arielAward", "type": "Property"}, +{"lexeme": "arrondissement", "formula": "http://dbpedia.org/ontology/arrondissement", "type": "Property"}, +{"lexeme": "patron (art)", "formula": "http://dbpedia.org/ontology/artPatron", "type": "Property"}, +{"lexeme": "artery", "formula": "http://dbpedia.org/ontology/artery", "type": "Property"}, +{"lexeme": "performer", "formula": "http://dbpedia.org/ontology/artist", "type": "Property"}, +{"lexeme": "Aspect Ratio", "formula": "http://dbpedia.org/ontology/aspectRatio", "type": "Property"}, +{"lexeme": "assembly", "formula": "http://dbpedia.org/ontology/assembly", "type": "Property"}, +{"lexeme": "assistant principal", "formula": "http://dbpedia.org/ontology/assistantPrincipal", "type": "Property"}, +{"lexeme": "associate", "formula": "http://dbpedia.org/ontology/associate", "type": "Property"}, +{"lexeme": "associate editor", "formula": "http://dbpedia.org/ontology/associateEditor", "type": "Property"}, +{"lexeme": "associateStar", "formula": "http://dbpedia.org/ontology/associateStar", "type": "Property"}, +{"lexeme": "associated act", "formula": "http://dbpedia.org/ontology/associatedAct", "type": "Property"}, +{"lexeme": "associated band", "formula": "http://dbpedia.org/ontology/associatedBand", "type": "Property"}, +{"lexeme": "associated musical artist", "formula": "http://dbpedia.org/ontology/associatedMusicalArtist", "type": "Property"}, +{"lexeme": "associated rocket", "formula": "http://dbpedia.org/ontology/associatedRocket", "type": "Property"}, +{"lexeme": "association of local government", "formula": "http://dbpedia.org/ontology/associationOfLocalGovernment", "type": "Property"}, +{"lexeme": "astrological sign", "formula": "http://dbpedia.org/ontology/astrologicalSign", "type": "Property"}, +{"lexeme": "athletics", "formula": "http://dbpedia.org/ontology/athletics", "type": "Property"}, +{"lexeme": "athletics discipline", "formula": "http://dbpedia.org/ontology/athleticsDiscipline", "type": "Property"}, +{"lexeme": "attorney general", "formula": "http://dbpedia.org/ontology/attorneyGeneral", "type": "Property"}, +{"lexeme": "author", "formula": "http://dbpedia.org/ontology/author", "type": "Property"}, +{"lexeme": "authority", "formula": "http://dbpedia.org/ontology/authority", "type": "Property"}, +{"lexeme": "automobile platform", "formula": "http://dbpedia.org/ontology/automobilePlatform", "type": "Property"}, +{"lexeme": "autonomy", "formula": "http://dbpedia.org/ontology/autonomy", "type": "Property"}, +{"lexeme": "available smart card", "formula": "http://dbpedia.org/ontology/availableSmartCard", "type": "Property"}, +{"lexeme": "award", "formula": "http://dbpedia.org/ontology/award", "type": "Property"}, +{"lexeme": "BAFTA Award", "formula": "http://dbpedia.org/ontology/baftaAward", "type": "Property"}, +{"lexeme": "band member", "formula": "http://dbpedia.org/ontology/bandMember", "type": "Property"}, +{"lexeme": "board', 'formula': 'http://dbpedia.org/ontology/board", "type": "Property"}, +{"lexeme": "body discovered', 'formula': 'http://dbpedia.org/ontology/bodyDiscovered", "type": "Property"}, +{"lexeme": "body style', 'formula': 'http://dbpedia.org/ontology/bodyStyle", "type": "Property"}, +{"lexeme": "boiler', 'formula': 'http://dbpedia.org/ontology/boiler", "type": "Property"}, +{"lexeme": "boiler pressure', 'formula': 'http://dbpedia.org/ontology/boilerPressure", "type": "Property"}, +{"lexeme": "death date', 'formula': 'http://dbpedia.org/ontology/deathDate", "type": "Property"}, +{"lexeme": "birth date', 'formula': 'http://dbpedia.org/ontology/birthDate", "type": "Property"}, +{"lexeme": "Wikipage page ID', 'formula': 'http://dbpedia.org/ontology/wikiPageID", "type": "Property"}, +{"lexeme": "Wikipage revision ID', 'formula': 'http://dbpedia.org/ontology/wikiPageRevisionID", "type": "Property"}, +{"lexeme": "total time person has spent in space (m)', 'formula': 'http://dbpedia.org/ontology/Astronaut/timeInSpace", "type": "Property"}, +{"lexeme": "fuel capacity (l)', 'formula': 'http://dbpedia.org/ontology/Automobile/fuelCapacity", "type": "Property"}, +{"lexeme": "wheelbase (mm)', 'formula': 'http://dbpedia.org/ontology/Automobile/wheelbase", "type": "Property"}, +{"lexeme": "floor area (m2)', 'formula': 'http://dbpedia.org/ontology/Building/floorArea", "type": "Property"}, +{"lexeme": "boiling point (K)', 'formula': 'http://dbpedia.org/ontology/ChemicalSubstance/boilingPoint", "type": "Property"}, +{"lexeme": "melting point (K)', 'formula': 'http://dbpedia.org/ontology/ChemicalSubstance/meltingPoint", "type": "Property"}, +{"lexeme": "diameter', 'formula': 'http://dbpedia.org/ontology/ConveyorSystem/diameter", "type": "Property"}, +{"lexeme": "height (mm)', 'formula': 'http://dbpedia.org/ontology/ConveyorSystem/height", "type": "Property"}, +{"lexeme": "length (mm)', 'formula': 'http://dbpedia.org/ontology/ConveyorSystem/length", "type": "Property"}, +{"lexeme": "mass (kg)', 'formula': 'http://dbpedia.org/ontology/ConveyorSystem/mass", "type": "Property"}, +{"lexeme": "weight (kg)', 'formula': 'http://dbpedia.org/ontology/ConveyorSystem/weight", "type": "Property"}, 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+"distance (km)";http://dbpedia.org/ontology/SpaceShuttle/distance diff --git a/data/error_test/relations/objProp.txt b/data/error_test/relations/objProp.txt new file mode 100644 index 0000000..6350d41 --- /dev/null +++ b/data/error_test/relations/objProp.txt @@ -0,0 +1,100 @@ +"death place"; http://dbpedia.org/ontology/deathPlace +"birth place"; http://dbpedia.org/ontology/birthPlace +"academic advisor"; http://dbpedia.org/ontology/academicAdvisor +"academic discipline"; http://dbpedia.org/ontology/academicDiscipline +"Academy Award"; http://dbpedia.org/ontology/academyAward +"achievement"; http://dbpedia.org/ontology/achievement +"ACT score"; http://dbpedia.org/ontology/actScore +"acting headteacher"; http://dbpedia.org/ontology/actingHeadteacher +"activity"; http://dbpedia.org/ontology/activity +"address in road"; http://dbpedia.org/ontology/addressInRoad +"adjacent settlement of a switzerland settlement"; http://dbpedia.org/ontology/adjacentSettlement +"administrative center"; 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fighter"; http://dbpedia.org/ontology/aircraftFighter +"aircraft helicopter"; http://dbpedia.org/ontology/aircraftHelicopter +"aircraft helicopter attack"; http://dbpedia.org/ontology/aircraftHelicopterAttack +"aircraft helicopter cargo"; http://dbpedia.org/ontology/aircraftHelicopterCargo +"aircraft helicopter multirole"; http://dbpedia.org/ontology/aircraftHelicopterMultirole +"aircraft helicopter observation"; http://dbpedia.org/ontology/aircraftHelicopterObservation +"aircraft helicopter transport"; http://dbpedia.org/ontology/aircraftHelicopterTransport +"aircraft helicopter utility"; http://dbpedia.org/ontology/aircraftHelicopterUtility +"aircraft interceptor"; http://dbpedia.org/ontology/aircraftInterceptor +"aircraft patrol"; http://dbpedia.org/ontology/aircraftPatrol +"aircraft recon"; http://dbpedia.org/ontology/aircraftRecon +"aircraft trainer"; http://dbpedia.org/ontology/aircraftTrainer +"aircraft transport"; http://dbpedia.org/ontology/aircraftTransport +"aircraft user"; 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"type": "ClassNoun"}, + {"lexeme": "actor", "formula": "http://dbpedia.org/ontology/Actor", "type": "ClassNoun"}, + {"lexeme": "place", "formula": "http://dbpedia.org/ontology/Place", "type": "ClassNoun"}, + {"lexeme": "publisher", "formula": "http://dbpedia.org/ontology/Publisher", "type": "ClassNoun"}, + {"lexeme": "genre", "formula": "http://dbpedia.org/ontology/Genre", "type": "ClassNoun"}, + {"lexeme": "language", "formula": "http://dbpedia.org/ontology/Language", "type": "ClassNoun"}, + {"lexeme": "department", "formula": "http://dbpedia.org/ontology/Department", "type": "ClassNoun"}, + {"lexeme": "software", "formula": "http://dbpedia.org/ontology/Software", "type": "ClassNoun"}, + {"lexeme": "school", "formula": "http://dbpedia.org/ontology/School", "type": "ClassNoun"}, + {"lexeme": "type", "formula": "http://dbpedia.org/ontology/Type", "type": "ClassNoun"}, + {"lexeme": "abbey", "formula": "http://dbpedia.org/ontology/Abbey", "type": "ClassNoun"}, + {"lexeme": "academic conference", "formula": "http://dbpedia.org/ontology/AcademicConference", "type": "ClassNoun"}, + {"lexeme": "academic journal", "formula": "http://dbpedia.org/ontology/AcademicJournal", "type": "ClassNoun"}, + {"lexeme": "academic subject", "formula": "http://dbpedia.org/ontology/AcademicSubject", "type": "ClassNoun"}, + {"lexeme": "administrative region", "formula": "http://dbpedia.org/ontology/AdministrativeRegion", "type": "ClassNoun"}, + {"lexeme": "adult (pornographic) actor", "formula": "http://dbpedia.org/ontology/AdultActor", "type": "ClassNoun"}, + {"lexeme": "agent", "formula": "http://dbpedia.org/ontology/Agent", "type": "ClassNoun"}, + {"lexeme": "agglomeration", "formula": "http://dbpedia.org/ontology/Agglomeration", "type": "ClassNoun"}, + {"lexeme": "aircraft", "formula": "http://dbpedia.org/ontology/Aircraft", "type": "ClassNoun"}, + {"lexeme": "airline", "formula": "http://dbpedia.org/ontology/Airline", "type": "ClassNoun"}, + {"lexeme": "airport", "formula": "http://dbpedia.org/ontology/Airport", "type": "ClassNoun"}, + {"lexeme": "album", "formula": "http://dbpedia.org/ontology/Album", "type": "ClassNoun"}, + {"lexeme": "altitude", "formula": "http://dbpedia.org/ontology/Altitude", "type": "ClassNoun"}, + {"lexeme": "amateur boxer", "formula": "http://dbpedia.org/ontology/AmateurBoxer", "type": "ClassNoun"}, + {"lexeme": "ambassador", "formula": "http://dbpedia.org/ontology/Ambassador", "type": "ClassNoun"}, + {"lexeme": "american football coach", "formula": "http://dbpedia.org/ontology/AmericanFootballCoach", "type": "ClassNoun"}, + {"lexeme": "american football league", "formula": "http://dbpedia.org/ontology/AmericanFootballLeague", "type": "ClassNoun"}, + {"lexeme": "american football player", "formula": "http://dbpedia.org/ontology/AmericanFootballPlayer", "type": "ClassNoun"}, + {"lexeme": "american football Team", "formula": "http://dbpedia.org/ontology/AmericanFootballTeam", "type": "ClassNoun"}, + {"lexeme": "amphibian", "formula": "http://dbpedia.org/ontology/Amphibian", "type": "ClassNoun"}, + {"lexeme": "amusement park attraction", "formula": "http://dbpedia.org/ontology/AmusementParkAttraction", "type": "ClassNoun"}, + {"lexeme": "anatomical structure", "formula": "http://dbpedia.org/ontology/AnatomicalStructure", "type": "ClassNoun"}, + {"lexeme": "animal", "formula": "http://dbpedia.org/ontology/Animal", "type": "ClassNoun"}, + {"lexeme": "animanga character", "formula": "http://dbpedia.org/ontology/AnimangaCharacter", "type": "ClassNoun"}, + {"lexeme": "Anime", "formula": "http://dbpedia.org/ontology/Anime", "type": "ClassNoun"}, + {"lexeme": "Annotation", "formula": "http://dbpedia.org/ontology/Annotation", "type": "ClassNoun"}, + {"lexeme": "arachnid", "formula": "http://dbpedia.org/ontology/Arachnid", "type": "ClassNoun"}, + {"lexeme": "archaea", "formula": "http://dbpedia.org/ontology/Archaea", "type": "ClassNoun"}, + {"lexeme": "archeologist", "formula": "http://dbpedia.org/ontology/Archeologist", "type": "ClassNoun"}, + {"lexeme": "Archer Player", "formula": "http://dbpedia.org/ontology/ArcherPlayer", "type": "ClassNoun"}, + {"lexeme": "archipelago", "formula": "http://dbpedia.org/ontology/Archipelago", "type": "ClassNoun"}, + {"lexeme": "architect", "formula": "http://dbpedia.org/ontology/Architect", "type": "ClassNoun"}, + {"lexeme": "architectural structure", "formula": "http://dbpedia.org/ontology/ArchitecturalStructure", "type": "ClassNoun"}, + {"lexeme": "Archive", "formula": "http://dbpedia.org/ontology/Archive", "type": "ClassNoun"}, + {"lexeme": "area", "formula": "http://dbpedia.org/ontology/Area", "type": "ClassNoun"}, + {"lexeme": "arena", "formula": "http://dbpedia.org/ontology/Arena", "type": "ClassNoun"}, + {"lexeme": "aristocrat", "formula": "http://dbpedia.org/ontology/Aristocrat", "type": "ClassNoun"}, + {"lexeme": "arrondissement", "formula": "http://dbpedia.org/ontology/Arrondissement", "type": "ClassNoun"}, + {"lexeme": "artery", "formula": "http://dbpedia.org/ontology/Artery", "type": "ClassNoun"}, + {"lexeme": "article", "formula": "http://dbpedia.org/ontology/Article", "type": "ClassNoun"}, + {"lexeme": "ArtificialSatellite", "formula": "http://dbpedia.org/ontology/ArtificialSatellite", "type": "ClassNoun"}, + {"lexeme": "artist", "formula": "http://dbpedia.org/ontology/Artist", "type": "ClassNoun"}, + {"lexeme": "artist discography", "formula": "http://dbpedia.org/ontology/ArtistDiscography", "type": "ClassNoun"}, + {"lexeme": "artistic genre", "formula": "http://dbpedia.org/ontology/ArtisticGenre", "type": "ClassNoun"}, + {"lexeme": "artwork", "formula": "http://dbpedia.org/ontology/Artwork", "type": "ClassNoun"}, + {"lexeme": "asteroid", "formula": "http://dbpedia.org/ontology/Asteroid", "type": "ClassNoun"}, + {"lexeme": "astronaut", "formula": "http://dbpedia.org/ontology/Astronaut", "type": "ClassNoun"}, + {"lexeme": "athlete", "formula": "http://dbpedia.org/ontology/Athlete", "type": "ClassNoun"}, + {"lexeme": "athletics", "formula": "http://dbpedia.org/ontology/Athletics", "type": "ClassNoun"}, + {"lexeme": "athletics player", "formula": "http://dbpedia.org/ontology/AthleticsPlayer", "type": "ClassNoun"}, + {"lexeme": "atoll", "formula": "http://dbpedia.org/ontology/Atoll", "type": "ClassNoun"}, + {"lexeme": "attack", "formula": "http://dbpedia.org/ontology/Attack", "type": "ClassNoun"}, + {"lexeme": "australian football league", "formula": "http://dbpedia.org/ontology/AustralianFootballLeague", "type": "ClassNoun"}, + {"lexeme": "australian football Team", "formula": "http://dbpedia.org/ontology/AustralianFootballTeam", "type": "ClassNoun"}, + {"lexeme": "Australian rules football player", "formula": "http://dbpedia.org/ontology/AustralianRulesFootballPlayer", "type": "ClassNoun"}, + {"lexeme": "auto racing league", "formula": "http://dbpedia.org/ontology/AutoRacingLeague", "type": "ClassNoun"}, + {"lexeme": "automobile", "formula": "http://dbpedia.org/ontology/Automobile", "type": "ClassNoun"}, + {"lexeme": "automobile engine", "formula": "http://dbpedia.org/ontology/AutomobileEngine", "type": "ClassNoun"}, + {"lexeme": "award", "formula": "http://dbpedia.org/ontology/Award", "type": "ClassNoun"}, + {"lexeme": "back scene", "formula": "http://dbpedia.org/ontology/BackScene", "type": "ClassNoun"}, + {"lexeme": "bacteria", "formula": "http://dbpedia.org/ontology/Bacteria", "type": "ClassNoun"}, + {"lexeme": "badminton player", "formula": "http://dbpedia.org/ontology/BadmintonPlayer", "type": "ClassNoun"}, + {"lexeme": "Band", "formula": "http://dbpedia.org/ontology/Band", "type": "ClassNoun"}, + {"lexeme": "bank", "formula": "http://dbpedia.org/ontology/Bank", "type": "ClassNoun"}, + {"lexeme": "baronet", "formula": "http://dbpedia.org/ontology/Baronet", "type": "ClassNoun"}, + {"lexeme": "baseball league", "formula": "http://dbpedia.org/ontology/BaseballLeague", "type": "ClassNoun"}, + {"lexeme": "baseball player", "formula": "http://dbpedia.org/ontology/BaseballPlayer", "type": "ClassNoun"}, + {"lexeme": "baseball season", "formula": "http://dbpedia.org/ontology/BaseballSeason", "type": "ClassNoun"}, + {"lexeme": "baseball team", "formula": "http://dbpedia.org/ontology/BaseballTeam", "type": "ClassNoun"}, + {"lexeme": "basketball league", "formula": "http://dbpedia.org/ontology/BasketballLeague", "type": "ClassNoun"}, + {"lexeme": "basketball player", "formula": "http://dbpedia.org/ontology/BasketballPlayer", "type": "ClassNoun"}, + {"lexeme": "basketball team", "formula": "http://dbpedia.org/ontology/BasketballTeam", "type": "ClassNoun"}, + {"lexeme": "bay", "formula": "http://dbpedia.org/ontology/Bay", "type": "ClassNoun"}, + {"lexeme": "beach", "formula": "http://dbpedia.org/ontology/Beach", "type": "ClassNoun"}, + {"lexeme": "beach volleyball player", "formula": "http://dbpedia.org/ontology/BeachVolleyballPlayer", "type": "ClassNoun"}, + {"lexeme": "beauty queen", "formula": "http://dbpedia.org/ontology/BeautyQueen", "type": "ClassNoun"}, + {"lexeme": "beer", "formula": "http://dbpedia.org/ontology/Beer", "type": "ClassNoun"}, + {"lexeme": "beverage", "formula": "http://dbpedia.org/ontology/Beverage", "type": "ClassNoun"}, + {"lexeme": "Biathlete", "formula": "http://dbpedia.org/ontology/Biathlete", "type": "ClassNoun"}, + {"lexeme": "Biological database", "formula": "http://dbpedia.org/ontology/BiologicalDatabase", "type": "ClassNoun"}, + {"lexeme": "biologist", "formula": "http://dbpedia.org/ontology/Biologist", "type": "ClassNoun"}, + {"lexeme": "Biomolecule", "formula": "http://dbpedia.org/ontology/Biomolecule", "type": "ClassNoun"}, + {"lexeme": "bird", "formula": "http://dbpedia.org/ontology/Bird", "type": "ClassNoun"}, + {"lexeme": "birth", "formula": "http://dbpedia.org/ontology/Birth", "type": "ClassNoun"}, + {"lexeme": "Blazon", "formula": "http://dbpedia.org/ontology/Blazon", "type": "ClassNoun"}, + {"lexeme": "blood vessel", "formula": "http://dbpedia.org/ontology/BloodVessel", "type": "ClassNoun"}, + {"lexeme": "board game", "formula": "http://dbpedia.org/ontology/BoardGame", "type": "ClassNoun"} +] diff --git a/data/error_test/w2vLexicon.txt b/data/error_test/w2vLexicon.txt new file mode 100644 index 0000000..e69de29 diff --git a/pom.xml b/pom.xml index d884b78..da6434c 100644 --- a/pom.xml +++ b/pom.xml @@ -135,7 +135,7 @@ -SparqlExecutor.endpointUrl http://dbpedia.org/sparql -Grammar.inPaths - resources/roboy-demo.grammar + resources/roboy-final.grammar -SimpleLexicon.inPaths resources/lexicons/roboy-dbpedia.lexicon -languageAnalyzer @@ -250,7 +250,7 @@ - demo-plain + demo java diff --git a/resources/lexicons/roboy-demo.lexicon b/resources/lexicons/roboy-demo.lexicon index 5c8133d..9ecc56d 100644 --- a/resources/lexicons/roboy-demo.lexicon +++ b/resources/lexicons/roboy-demo.lexicon @@ -133,3 +133,4 @@ # DBpedia {"lexeme": "birth date", "formula": "!dbpedia:birthDate", "type": "RelationalNoun"} + diff --git a/resources/roboy-final.grammar b/resources/roboy-final.grammar index 98a7213..a68edb3 100644 --- a/resources/roboy-final.grammar +++ b/resources/roboy-final.grammar @@ -21,13 +21,14 @@ (rule $VerbPhrase ($LEMMAS) (FilterPosTagFn span TO IN VB VBD VBN VBG VBP VBZ VBD-AUX JJ)) (rule $ValuePhrase ($LEMMA_PHRASE) (FilterPosTagFn span NNS NN NNP CD VBG VB)) (rule $NounPhrase ($PHRASE) (FilterPosTagFn span NNS NN CD)) -(rule $EntityPhrase ($PHRASE) (FilterPosTagFn span NN NNP NNPS)) +(rule $EntityPhrase ($PHRASE) (FilterPosTagFn span NN NNP NNPS JJ)) (rule $AdjPhrase ($LEMMAS) (FilterPosTagFn span JJ)) (rule $AdjToken ($AdjPhrase) (FilterSpanLengthFn 1 2)) (rule $VerbToken ($VerbPhrase) (FilterSpanLengthFn 1 2)) (rule $ValueToken ($ValuePhrase) (FilterSpanLengthFn 1 2)) (rule $NounToken ($NounPhrase) (FilterSpanLengthFn 1 3)) (rule $EntityToken ($EntityPhrase) (FilterSpanLengthFn 1 4)) +(rule $EntityToken ($NounPhrase $ProNounEnd $TOKEN) (ConcatFn " ")) (rule $IgnPhrase ($Ignore) (FilterSpanLengthFn 1 3)) (rule $Limited ($LEMMA_PHRASE) (FilterSpanLengthFn 1 3)) @@ -80,7 +81,8 @@ ) #(rule $ROOT ($PHRASE) (OpenTypeFn type)) #(rule $ROOT ($PHRASE) (OpenTypeFn relation)) -#(rule $ROOT ($PHRASE) (OpenTypeFn entity)) +(rule $ROOT ($PHRASE) (OpenTypeFn entity)) +#(rule $ROOT ($PHRASE) (SimpleLexiconFn (type "NamedEntity"))) ## Forming Subject #(rule $Subject ($Person) (IdentityFn)) @@ -155,7 +157,7 @@ (rule $PredObj ($FullObjProp) (IdentityFn)) (rule $PredObj ($FullObjType) (IdentityFn)) (rule $PredObj ($FullDataProp) (IdentityFn)) -(rule $ROOT ($PredObj) (IdentityFn)) +#(rule $ROOT ($PredObj) (IdentityFn)) ## Forming Values (rule $Value ($EntityToken) (IdentityFn)) @@ -181,9 +183,9 @@ #(rule $Expr ($RObjPred $RobSubject $Value) (TripleFn pso)) (rule $Expr ($RObjPred $RobSubject $Object) (TripleFn pso)) (rule $Expr ($RDataPred $RobSubject $Value) (TripleFn pso)) -(rule $ROOT ($Limited $Expr) (SelectFn 1)) -(rule $ROOT ($Expr) (IdentityFn)) -(rule $ROOT ($Expr ($Conj optional) $Expr) (ListFn)) +#(rule $ROOT ($Limited $Expr) (SelectFn 1)) +#(rule $ROOT ($Expr) (IdentityFn)) +#(rule $ROOT ($Expr ($Conj optional) $Expr) (ListFn)) (rule $ROOT ($PHRASE) (SimpleLexiconFn (type "RoboyPhrases"))) # Questions diff --git a/resources/roboy-value.grammar b/resources/roboy-value.grammar new file mode 100644 index 0000000..e460d4b --- /dev/null +++ b/resources/roboy-value.grammar @@ -0,0 +1,256 @@ +# Roboy Parser Grammar + +## POS Tags +(rule $Verb ($PHRASE) (FilterPosTagFn span VB VBD VBN VBG VBP VBZ VBD-AUX)) +(rule $ProNoun ($TOKEN) (FilterPosTagFn token PRP PRP$)) +(rule $ProNounEnd ($TOKEN) (FilterPosTagFn token POS)) +(rule $Preposition ($TOKEN) (FilterPosTagFn token IN)) +(rule $Conj ($TOKEN) (FilterPosTagFn token CC)) +(rule $Det ($TOKEN) (FilterPosTagFn token DT PDT)) +(rule $Wh ($TOKEN) (FilterPosTagFn token WP WP$)) +(rule $Number ($PHRASE) (FilterPosTagFn span CD)) +(rule $BE ($PHRASE) (FilterPosTagFn span BE)) +(rule $HAVE ($PHRASE) (FilterPosTagFn span HAVE)) + +# Words ignored +(rule $Ignore ($LEMMA_PHRASE) (FilterPosTagFn span BE HAVE MD FW RB JJ RBR RBS UH EX DT PDT TO)) +(rule $LEMMAS ($Ignore $LEMMA_PHRASE) (SelectFn 1)) +(rule $LEMMAS ($LEMMA_PHRASE $Ignore) (SelectFn 0)) + +## Limiting number of words in a phrase +(rule $VerbPhrase ($LEMMAS) (FilterPosTagFn span TO IN VB VBD VBN VBG VBP VBZ VBD-AUX JJ)) +(rule $ValuePhrase ($LEMMA_PHRASE) (FilterPosTagFn span NNS NN NNP CD VBG VB)) +(rule $NounPhrase ($PHRASE) (FilterPosTagFn span NNS NN CD)) +(rule $EntityPhrase ($PHRASE) (FilterPosTagFn span NNP NNPS)) +(rule $AdjPhrase ($LEMMAS) (FilterPosTagFn span JJ)) +(rule $AdjToken ($AdjPhrase) (FilterSpanLengthFn 1 2)) +(rule $VerbToken ($VerbPhrase) (FilterSpanLengthFn 1 2)) +(rule $ValueToken ($ValuePhrase) (FilterSpanLengthFn 1 2)) +(rule $NounToken ($NounPhrase) (FilterSpanLengthFn 1 3)) +(rule $EntityToken ($EntityPhrase) (FilterSpanLengthFn 1 4)) +(rule $IgnPhrase ($Ignore) (FilterSpanLengthFn 1 3)) +(rule $Limited ($LEMMA_PHRASE) (FilterSpanLengthFn 1 3)) + +## SimpleLexiconFn + +### Unaries +(rule $FullObjProp ($Limited) (SimpleLexiconFn (type "IntersectiveObjectPropertyAdjective"))) +(rule $FullObjProp ($Limited) (SimpleLexiconFn (type "ObjectProperty"))) + +(rule $FullDataProp ($Limited) (SimpleLexiconFn (type "DataPropertyNoun"))) +(rule $FullDataProp ($Limited) (SimpleLexiconFn (type "IntersectiveDataPropertyAdjective"))) + +(rule $FullObjType ($Limited) (SimpleLexiconFn (type "ClassNoun"))) +(rule $FullObjType ($Limited) (SimpleLexiconFn (type "RoboyClassNoun"))) + +### Binaries +(rule $PartObjProp ($Limited) (SimpleLexiconFn (type "RelationalNoun"))) +(rule $PartDataProp ($Limited) (SimpleLexiconFn (type "RelationalNoun"))) +(rule $RObjProp ($Limited) (SimpleLexiconFn (type "RoboyRelNoun"))) +(rule $RDataProp ($Limited) (SimpleLexiconFn (type "RoboyDataProp"))) +(rule $QObjProp ($Limited) (SimpleLexiconFn (type "RoboyQRelNoun"))) +(rule $QDataProp ($Limited) (SimpleLexiconFn (type "RoboyQDataProp"))) + +(rule $PartObjProp ($Limited) (SimpleLexiconFn (type "StateVerb"))) +(rule $PartObjProp ($Limited) (SimpleLexiconFn (type "RelationalAdjective"))) + +(rule $RObjProp ($Limited) (SimpleLexiconFn (type "ObjProp"))) +(rule $RDataProp ($Limited) (SimpleLexiconFn (type "DataProp"))) +(rule $QObjProp ($Limited) (SimpleLexiconFn (type "ObjQProp"))) +(rule $QDataProp ($Limited) (SimpleLexiconFn (type "DataQProp"))) + +### Entities +(rule $Entity ($EntityToken) (SimpleLexiconFn (type "NamedEntity"))) +(rule $Person ($ProNoun) (SimpleLexiconFn (type "Person"))) +(rule $Person ($Person do) (SimpleLexiconFn (type "Person"))) + +## OpenTypes +(when error + (rule $FullObjType ($NounToken) (OpenTypeFn type)) + (rule $FullDataProp ($NounToken) (OpenTypeFn type)) + + (rule $PartObjProp ($NounToken) (OpenTypeFn relation)) + (rule $PartDataProp ($NounToken) (OpenTypeFn relation)) + (rule $PartObjProp ($VerbToken) (OpenTypeFn relation)) + (rule $PartDataProp ($VerbToken) (OpenTypeFn relation)) + (rule $PartObjProp ($AdjToken) (OpenTypeFn relation)) + (rule $PartDataProp ($AdjToken) (OpenTypeFn relation)) + + (rule $Entity ($EntityToken) (OpenTypeFn entity)) +) +#(rule $ROOT ($PHRASE) (OpenTypeFn type)) +#(rule $ROOT ($PHRASE) (OpenTypeFn relation)) +#(rule $ROOT ($PHRASE) (OpenTypeFn entity)) + +## Forming Subject +#(rule $Subject ($Person) (IdentityFn)) +(rule $Subject ($Entity) (IdentityFn)) +(rule $Subject ($Subject or $Subject) (ConcatFn ";")) +(rule $Subject ($Subject and $Subject) (ConcatFn ",")) +(rule $Subject ($Subject (, optional) $Subject) (ConcatFn ",")) + +(rule $RobSubject ($Person) (IdentityFn)) +(rule $RobSubject ($RobSubject or $RobSubject) (ConcatFn ";")) +(rule $RobSubject ($RobSubject and $RobSubject) (ConcatFn ",")) +(rule $RobSubject ($RobSubject (, optional) $RobSubject) (ConcatFn ",")) + +## Forming Predicate +(rule $Predicate ($PartObjProp) (IdentityFn)) +(rule $Predicate ($PartDataProp) (IdentityFn)) +(rule $Predicate ($Predicate or $Predicate) (ConcatFn ";")) +(rule $Predicate ($Predicate and $Predicate) (ConcatFn ",")) +(rule $Predicate ($Predicate (, optional) $Predicate) (ConcatFn ",")) + +(rule $RObjPred ($RObjProp) (IdentityFn)) +(rule $RObjPred ($BE $RObjPred) (SelectFn 1)) +(rule $RObjPred ($HAVE $RObjPred) (SelectFn 1)) +(rule $RObjPred ($IgnPhrase $RObjPred) (SelectFn 1)) +(rule $RObjPred ($RObjPred $IgnPhrase) (SelectFn 0)) +(rule $RObjPred ($RObjPred or $RObjPred) (ConcatFn ";")) +(rule $RObjPred ($RObjPred and $RObjPred) (ConcatFn ",")) +(rule $RObjPred ($RObjPred (, optional) $RObjPred) (ConcatFn ",")) + +(rule $RDataPred ($RDataProp) (IdentityFn)) +(rule $RDataPred ($BE $RDataProp) (SelectFn 1)) +(rule $RDataPred ($HAVE $RDataProp) (SelectFn 1)) +(rule $RDataPred ($IgnPhrase $RDataProp) (SelectFn 1)) +(rule $RDataPred ($RDataProp $IgnPhrase) (SelectFn 0)) +(rule $RDataPred ($RDataPred or $RDataPred) (ConcatFn ";")) +(rule $RDataPred ($RDataPred and $RDataPred) (ConcatFn ",")) +(rule $RDataPred ($RDataPred (, optional) $RDataPred) (ConcatFn ",")) + +(rule $QObjPred ($QObjProp) (IdentityFn)) +(rule $QObjPred ($BE $QObjPred) (SelectFn 1)) +(rule $QObjPred ($HAVE $QObjPred) (SelectFn 1)) +(rule $QObjPred ($IgnPhrase $QObjPred) (SelectFn 1)) +(rule $QObjPred ($QObjPred $IgnPhrase) (SelectFn 0)) +(rule $QObjPred ($QObjPred or $QObjPred) (ConcatFn ";")) +(rule $QObjPred ($QObjPred and $QObjPred) (ConcatFn ",")) +(rule $QObjPred ($QObjPred (, optional) $QObjPred) (ConcatFn ",")) + +(rule $QDataPred ($QDataProp) (IdentityFn)) +(rule $QDataPred ($BE $QDataProp) (SelectFn 1)) +(rule $QDataPred ($HAVE $QDataProp) (SelectFn 1)) +(rule $QDataProp ($IgnPhrase $QDataProp) (SelectFn 1)) +(rule $QDataProp ($QDataProp $IgnPhrase) (SelectFn 0)) +(rule $QDataPred ($QDataPred or $QDataPred) (ConcatFn ";")) +(rule $QDataPred ($QDataPred and $QDataPred) (ConcatFn ",")) +(rule $QDataPred ($QDataPred (, optional) $QDataPred) (ConcatFn ",")) + +(rule $NAME ($BE) (ConstantFn rb:NAME_OF)) +(rule $MEMBER ($BE ($Det optional)) (ConstantFn rb:MEMBER_OF)) +(rule $OCCUP ($BE $Det) (ConstantFn rb:OCCUPIED_AS)) + +## Forming Objects +(rule $Object ($Subject) (IdentityFn)) +(rule $Object ($BE $Object) (SelectFn 1)) +(rule $Object ($Object or $Object) (ConcatFn ";")) +(rule $Object ($Object and $Object) (ConcatFn ",")) +(rule $Object ($Object (, optional) $Object) (ConcatFn ",")) + +## Forming POs +(rule $PredObj ($FullObjProp) (IdentityFn)) +(rule $PredObj ($FullObjType) (IdentityFn)) +(rule $PredObj ($FullDataProp) (IdentityFn)) +(rule $ROOT ($PredObj) (IdentityFn)) + +## Forming Values +(rule $Value ($EntityToken) (IdentityFn)) +(rule $Value ($ValueToken) (IdentityFn)) +(rule $Value ($BE $ValueToken) (SelectFn 1)) +(rule $Value ($AdjPhrase $ValueToken) (SelectFn 1)) +(rule $Value ($Value or $Value) (ConcatFn ";")) +(rule $Value ($Value and $Value) (ConcatFn ",")) +(rule $Value ($Value (, optional) $Value) (ConcatFn ",")) + +# Expressions Roboy +############################################################ +#(rule $Expr ($RobSubject $MEMBER $Object member) (TripleFn "spo")) +#(rule $Expr ($RobSubject $OCCUP $Object) (TripleFn "spo")) +(rule $Expr ($RobSubject $MEMBER $Value member) (TripleFn "spo")) +(rule $Expr ($RobSubject $OCCUP $Value) (TripleFn "spo")) +(rule $Expr ($RobSubject $NAME $EntityToken) (TripleFn "spo")) +#(rule $Expr ($RObjPred $RobSubject $Object) (TripleFn pso)) +(rule $Expr ($RObjPred $RobSubject $Value) (TripleFn pso)) +#(rule $Expr ($RobSubject $RObjPred $Object) (TripleFn spo)) +(rule $Expr ($RobSubject $RObjPred $Value) (TripleFn spo)) +(rule $Expr ($RobSubject $RDataPred $Value) (TripleFn spo)) +#(rule $Expr ($Object $RobSubject $RObjPred ) (TripleFn osp)) +(rule $Expr ($Value $RobSubject $RObjPred) (TripleFn osp)) +(rule $Expr ($Value $RobSubject $RDataPred) (TripleFn osp)) +(rule $Expr ($RObjPred $RobSubject $Value) (TripleFn pso)) +#(rule $Expr ($RObjPred $RobSubject $Object) (TripleFn pso)) +(rule $Expr ($RDataPred $RobSubject $Value) (TripleFn pso)) +(rule $ROOT ($Limited $Expr) (SelectFn 1)) +(rule $ROOT ($Expr) (IdentityFn)) +(rule $ROOT ($Expr ($Conj optional) $Expr) (ListFn)) +(rule $ROOT ($PHRASE) (SimpleLexiconFn (type "RoboyPhrases"))) + +# Questions +############################################################ +(rule $Quest (who) (ConstantFn (rdf:type foaf:person) foaf:person)) +(rule $Quest (who) (ConstantFn (rdf:type dbpedia:Organization) dbpedia:Organization)) +(rule $Quest (who) (ConstantFn (rdf:type dbpedia:Company) dbpedia:Company)) +(rule $Quest (where) (ConstantFn (rdf:type dbpedia:Organization) dbpedia:Organization)) +(rule $Quest (where) (ConstantFn (rdf:type dbpedia:Place) dbpedia:Place)) +(rule $Quest (where) (ConstantFn (rdf:type dbpedia:EducationalInstitution) dbpedia:EducationalInstitution)) +(rule $Quest (when) (ConstantFn (rdf:type xsd:date) xsd:date)) +(rule $Quest (how) (ConstantFn null null)) +(rule $Quest (can i) (ConstantFn null null)) +(rule $Quest (do) (ConstantFn null null)) +(rule $Quest (you call) (ConstantFn null null)) +(rule $Quest (what) (ConstantFn null null)) +(rule $Quest ($Quest $Quest) (ConstantFn null null)) +(rule $Quest (which $TOKEN) (ConstantFn null null)) +(rule $Quest (tell me (something optional)) (ConstantFn null null)) +(rule $Quest (date) (ConstantFn (rdf:type xsd:date) xsd:date)) +(rule $Quest (year) (ConstantFn (rdf:type xsd:date) xsd:date)) +(rule $Quest (day) (ConstantFn (rdf:type xsd:date) xsd:date)) + +# Aggregation +(rule $CountStr (how many) (ConstantFn null null)) +(rule $CountStr (number of) (ConstantFn null null)) +(rule $Operator ($CountStr) (ConstantFn (lambda x (count (var x))) (-> fb:type.any fb:type.any))) + +# Roboy questions +(rule $RBaseSet ($Person ($Limited optional) $QObjPred) (JoinFn backward)) +(rule $RBaseSet ($QObjPred ($Limited optional) $Person) (JoinFn forward)) +(rule $RBaseSet ($Person ($Limited optional) $QDataProp) (JoinFn backward)) +(rule $RBaseSet ($QDataProp ($Limited optional) $Person) (JoinFn forward)) +#(rule $RBaseSet ($Object ($Limited optional) $RObjPred) (JoinFn backward)) +#(rule $RBaseSet ($RObjPred ($Limited optional) $Object) (JoinFn forward)) +#(rule $RBaseSet ($Object ($Limited optional) $RDataProp) (JoinFn backward)) +#(rule $RBaseSet ($RDataProp ($Limited optional) $Object) (JoinFn forward)) +#(rule $RBaseSet ($Value ($Limited optional) $QObjPred) (JoinFn backward)) +#(rule $RBaseSet ($QObjPred ($Limited optional) $Value) (JoinFn forward)) +#(rule $RBaseSet ($Value ($Limited optional) $QDataProp) (JoinFn backward)) +#(rule $RBaseSet ($QDataProp ($Limited optional) $Value) (JoinFn forward)) +(rule $RSet ($RBaseSet) (IdentityFn)) +(rule $RSet ($RSet ($Limited optional) $RSet) (MergeFn and)) + +(rule $QExpr (($Limited optional) $Operator ($Limited optional) $Set) (JoinFn forward betaReduce)) +(rule $QExpr (($Limited optional) $Set ($Limited optional)) (IdentityFn)) +(rule $QExpr (($Limited optional) $Operator ($Limited optional) $RSet) (JoinFn forward betaReduce)) +(rule $QExpr (($Limited optional) $RSet ($Limited optional)) (IdentityFn)) +(rule $ROOT ($Quest $QExpr ($PHRASE optional)) (SelectFn 1)) + +# DBpedia questions +(rule $Set ($Unary $Set) (MergeFn and)) +(rule $Set ($Binary $Entity) (JoinFn forward)) +(rule $Set ($Entity $Binary) (JoinFn backward)) +(rule $Set ($Binary $Entity) (JoinFn forward)) +(rule $Set ($Entity $Binary) (JoinFn backward)) +(rule $Unary ($PredObj) (IdentityFn)) +(rule $Set ($Unary) (IdentityFn)) +(rule $BaseSet ($Subject ($Limited optional) $Predicate) (JoinFn unary,binary unaryCanBeArg0 unaryCanBeArg1)) +(rule $BaseSet ($Predicate ($Limited optional) $Subject) (JoinFn binary,unary unaryCanBeArg0 unaryCanBeArg1)) +(rule $BaseSet ($Object ($Limited optional) $Predicate) (JoinFn unary,binary unaryCanBeArg0 unaryCanBeArg1)) +(rule $BaseSet ($Predicate ($Limited optional) $Object) (JoinFn binary,unary unaryCanBeArg0 unaryCanBeArg1)) +(rule $BaseSet ($Value ($Limited optional) $Predicate) (JoinFn unary,binary unaryCanBeArg0 unaryCanBeArg1)) +(rule $BaseSet ($Predicate ($Limited optional) $Value) (JoinFn binary,unary unaryCanBeArg0 unaryCanBeArg1)) +(rule $Set ($BaseSet) (IdentityFn)) +(rule $Set ($Set ($Limited optional) $Set) (MergeFn and)) +(rule $ROOT ($Quest $Set) (SelectFn 1)) + +# Math expressions +(include math.grammar) diff --git a/src/main/java/edu/stanford/nlp/sempre/Example.java b/src/main/java/edu/stanford/nlp/sempre/Example.java index d68c3ae..b9aac32 100644 --- a/src/main/java/edu/stanford/nlp/sempre/Example.java +++ b/src/main/java/edu/stanford/nlp/sempre/Example.java @@ -6,7 +6,6 @@ import com.fasterxml.jackson.annotation.JsonInclude; import com.fasterxml.jackson.annotation.JsonProperty; import com.google.common.base.Joiner; import com.google.common.collect.Sets; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; import fig.basic.Evaluation; import fig.basic.LispTree; import fig.basic.LogInfo; diff --git a/src/main/java/edu/stanford/nlp/sempre/OpenTypeFn.java b/src/main/java/edu/stanford/nlp/sempre/OpenTypeFn.java index 33c3c51..cc7c66f 100644 --- a/src/main/java/edu/stanford/nlp/sempre/OpenTypeFn.java +++ b/src/main/java/edu/stanford/nlp/sempre/OpenTypeFn.java @@ -47,7 +47,7 @@ public class OpenTypeFn extends SemanticFn { for (int i = 0; i < c.getChildren().size(); i++) { if (i > 0) out.append(" "); - out.append(c.childStringValue(i)); + out.append(c.childStringValue(i).replaceAll("'"," ")); } out.append("''"); diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/BuildCanonicalIdMap.java b/src/main/java/edu/stanford/nlp/sempre/roboy/BuildCanonicalIdMap.java deleted file mode 100644 index 79b3db6..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/BuildCanonicalIdMap.java +++ /dev/null @@ -1,146 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import fig.basic.IOUtils; -import fig.basic.LogInfo; -import fig.basic.Option; -import fig.exec.Execution; - -import java.io.BufferedReader; -import java.io.IOException; -import java.io.PrintWriter; -import java.util.ArrayList; -import java.util.HashSet; -import java.util.List; -import java.util.Set; - -/** - * Motivation: the Freebase dump uses a mix of mids and ids. The mapping - * computed by this program will be used to standardize everything to a nice - * looking id or a mid. - *

- * Input: raw RDF Freebase dump (ttl format) downloaded from the Freebase - * website. - *

- * Output: tab-separated file containing mapping from mid/id to canonical id. - * fb:m.02mjmr fb:en.barack_obama fb:m.07t65 fb:en.united_nations - * fb:en.united_staff fb:en.united_nations ... To save space, only output mid/id - * which are mids or acceptable ids. - *

- * Acceptable ids include: - Something that starts with fb:en. - Something that - * occurs in the arg1 position (for types and properties, excluding fb:m.* and - * fb:g.*). If there are multiple ids, just take the first one in the file. If - * there are no acceptable ids, then just take the mid. - * - * @author Percy Liang - */ -public class BuildCanonicalIdMap implements Runnable { - @Option public int maxInputLines = Integer.MAX_VALUE; - @Option(required = true) public String rawPath; - @Option(required = true) public String canonicalIdMapPath; - - Set allowableIds = new HashSet(); - - PrintWriter out; - int numMids = 0; - - void computeAllowableIds() { - // Compute allowable ids - LogInfo.begin_track("Compute allowable ids"); - try { - BufferedReader in = IOUtils.openIn(rawPath); - String line; - int numInputLines = 0; - while (numInputLines < maxInputLines && (line = in.readLine()) != null) { - numInputLines++; - if (numInputLines % 10000000 == 0) - LogInfo.logs("Read %s lines, %d allowable ids", numInputLines, allowableIds.size()); - String[] tokens = Utils.parseTriple(line); - if (tokens == null) continue; - String arg1 = tokens[0]; - if (!arg1.startsWith("fb:g.") && !arg1.startsWith("fb:m.")) - allowableIds.add(arg1); - } - LogInfo.logs("%d allowable ids", allowableIds.size()); - in.close(); - } catch (IOException e) { - throw new RuntimeException(e); - } - LogInfo.end_track(); - } - - void flush(String mid, List ids) { - if (ids.size() == 0) return; - numMids++; - - // Find the best id for this entity and put it first to use as the canonical id. - String bestId = mid; - for (String id : ids) { - if (id.startsWith("fb:en.") || allowableIds.contains(id)) { - bestId = id; - break; - } - } - - if (!bestId.equals(mid)) - out.println(mid + "\t" + bestId); - for (String id : ids) { - if (id.equals(bestId)) continue; - if (!(allowableIds.contains(id) || id.startsWith("fb:en."))) - continue; // To save space, only map ids which look reasonable - out.println(id + "\t" + bestId); - } - } - - public void run() { - computeAllowableIds(); - - // Map to ids - out = IOUtils.openOutHard(canonicalIdMapPath); - try { - BufferedReader in = IOUtils.openIn(rawPath); - String line; - int numInputLines = 0; - - // Current block of triples corresponds to a single mid. - String mid = null; - List ids = new ArrayList(); - - while (numInputLines < maxInputLines && (line = in.readLine()) != null) { - numInputLines++; - if (numInputLines % 10000000 == 0) - LogInfo.logs("Read %s lines, %d entities", numInputLines, numMids); - String[] tokens = Utils.parseTriple(line); - if (tokens == null) continue; - String arg1 = tokens[0]; - String property = tokens[1]; - String arg2 = tokens[2]; - - if (!arg1.startsWith("fb:m.")) continue; - if (!property.equals("fb:type.object.key")) continue; - - // Flush last block - if (!arg1.equals(mid)) { - flush(mid, ids); - - // Reset - mid = arg1; - ids.clear(); - } - - // Record information - arg2 = Utils.stringToRdf(arg2); - ids.add(arg2); - } - in.close(); - flush(mid, ids); - } catch (IOException e) { - throw new RuntimeException(e); - } - - out.close(); - } - - public static void main(String[] args) { - Execution.run(args, new BuildCanonicalIdMap()); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/BuildTypesMap.java b/src/main/java/edu/stanford/nlp/sempre/roboy/BuildTypesMap.java deleted file mode 100644 index c94c038..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/BuildTypesMap.java +++ /dev/null @@ -1,64 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import fig.basic.IOUtils; -import fig.basic.MapUtils; -import fig.basic.StrUtils; -import fig.basic.LogInfo; -import fig.basic.Option; -import fig.exec.Execution; - -import java.io.BufferedReader; -import java.io.IOException; -import java.io.PrintWriter; -import java.util.*; - -/** - * Input: canonical Freebase dump - * fb:en.arnold_schwarzenegger fb:type.object.type fb:people.person. - * ... - * Output: map from ids to comma-separated list of types - * fb:en.arnold_schwarzenegger fb:people.person, fb:government.politician - * - * @author Percy Liang - */ -public class BuildTypesMap implements Runnable { - @Option public int maxInputLines = Integer.MAX_VALUE; - @Option(required = true, gloss = "Input") public String inPath; - @Option(required = true, gloss = "Output") public String outPath; - @Option(gloss = "keep only fb:en.*") public boolean keepOnlyEnIds = true; - - Map> types = new LinkedHashMap>(); - - public void run() { - LogInfo.begin_track("Reading %s", inPath); - try { - BufferedReader in = IOUtils.openIn(inPath); - String line; - int numLines = 0; - while ((line = in.readLine()) != null) { - String[] triple = Utils.parseTriple(line); - if (++numLines % 100000000 == 0) LogInfo.logs("%d lines", numLines); - if (triple == null) continue; - if (!triple[1].equals("fb:type.object.type")) continue; - if (keepOnlyEnIds && !triple[0].startsWith("fb:en.")) continue; - MapUtils.addToList(types, triple[0], triple[2]); - } - in.close(); - } catch (IOException e) { - throw new RuntimeException(e); - } - LogInfo.end_track(); - - LogInfo.begin_track("Writing to %s", outPath); - PrintWriter out = IOUtils.openOutHard(outPath); - for (Map.Entry> e : types.entrySet()) { - out.println(e.getKey() + "\t" + StrUtils.join(e.getValue(), ",")); - } - out.close(); - LogInfo.end_track(); - } - - public static void main(String[] args) { - Execution.run(args, new BuildTypesMap()); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeExamples.java b/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeExamples.java deleted file mode 100644 index d0ed63f..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeExamples.java +++ /dev/null @@ -1,83 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import com.google.common.base.Function; -import edu.stanford.nlp.sempre.*; -import fig.basic.*; -import fig.exec.Execution; - -import java.io.PrintWriter; -import java.util.Iterator; -import java.util.List; -import java.util.Map; - -/** - * Replaces all names (e.g., fb:m.02mjmr) with canonical identifiers (e.g., fb:en.barack_obama) - * For creating the dataset. - * - * @author Percy Liang - */ -public class CanonicalizeExamples implements Runnable { - @Option(required = true, gloss = "File mapping ids to canonical ids") - public String canonicalIdMapPath; - @Option(required = true, gloss = "Input path to examples to canonicalize (output to same directory) with .canonicalized extension") - public List examplePaths; - - Map canonicalIdMap; - - private String convert(String name) { - boolean reverse = false; - if (name.startsWith("!")) { - name = name.substring(1); - reverse = true; - } - name = MapUtils.get(canonicalIdMap, name, name); - if (reverse) name = "!" + name; - return name; - } - - public Formula convert(Formula formula) { - return formula.map( - new Function() { - public Formula apply(Formula formula) { - String name = Formulas.getNameId(formula); - if (name != null) { - name = convert(name); - return Formulas.newNameFormula(name); - } - return null; - } - }); - } - - public void run() { - canonicalIdMap = edu.stanford.nlp.sempre.roboy.Utils.readCanonicalIdMap(canonicalIdMapPath); - - for (String inPath : examplePaths) { - String outPath = inPath + ".canonicalized"; - LogInfo.logs("Converting %s => %s", inPath, outPath); - Iterator it = LispTree.proto.parseFromFile(inPath); - PrintWriter out = IOUtils.openOutHard(outPath); - while (it.hasNext()) { - LispTree tree = it.next(); - if (!"example".equals(tree.child(0).value)) - throw new RuntimeException("Bad: " + tree); - for (int i = 1; i < tree.children.size(); i++) { - LispTree subtree = tree.child(i); - if ("targetFormula".equals(subtree.child(0).value)) { - for (int j = 1; j < subtree.children.size(); j++) { - Formula formula = Formulas.fromLispTree(subtree.child(j)); - formula = convert(formula); - subtree.children.set(j, formula.toLispTree()); // Use converted formula - } - } - } - out.println(tree.toStringWrap(100)); - } - out.close(); - } - } - - public static void main(String[] args) { - Execution.run(args, new CanonicalizeExamples()); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeIds.java b/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeIds.java deleted file mode 100644 index bf38ff9..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/CanonicalizeIds.java +++ /dev/null @@ -1,80 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import fig.basic.IOUtils; -import fig.basic.LogInfo; -import fig.basic.MapUtils; -import fig.basic.Option; -import fig.exec.Execution; - -import java.io.BufferedReader; -import java.io.IOException; -import java.io.PrintWriter; -import java.util.Map; - -/** - * Input: raw RDF Freebase dump (ttl format) downloaded from the Freebase - * website. Input: canonical id map file output by BuildCanonicalIdMap. - *

- * Output: Freebase dump with all mids and ids standardized. - * - * @author Percy Liang - */ -public class CanonicalizeIds implements Runnable { - @Option public int maxInputLines = Integer.MAX_VALUE; - @Option(required = true) public String canonicalIdMapPath; - @Option(required = true, gloss = "Raw Freebase triples") - public String rawPath; - @Option(required = true, gloss = "Canonicalized Freebase triples") - public String canonicalizedPath; - - public void run() { - Map canonicalIdMap = Utils.readCanonicalIdMap(canonicalIdMapPath, maxInputLines); - - // Do conversion - LogInfo.begin_track("Convert"); - PrintWriter out = IOUtils.openOutHard(canonicalizedPath); - out.println(Utils.ttlPrefix); - try { - BufferedReader in = IOUtils.openIn(rawPath); - String line; - int numInputLines = 0; - while (numInputLines < maxInputLines && (line = in.readLine()) != null) { - numInputLines++; - if (numInputLines % 10000000 == 0) - LogInfo.logs("Read %s lines", numInputLines); - String[] tokens = Utils.parseTriple(line); - if (tokens == null) continue; - String arg1 = tokens[0]; - String property = tokens[1]; - String arg2 = tokens[2]; - - // Do some simple filtering - if (!property.startsWith("fb:")) continue; - if (property.contains("..")) - continue; // Freebase dumps started containing paths through CVTs, which we don't need - if (property.equals("fb:type.type.instance")) - continue; // Already have type.object.type, don't need reverse map explicitly - if (arg2.startsWith("\"") && !(arg2.endsWith("@en") || arg2.contains("^^xsd:"))) - continue; // Strings must be in English or xsd values (boolean, int, float, datetime) - - arg2 = Utils.quoteValues(arg2); // Fix numerical values - - // Convert everything to use canonical ids. - arg1 = MapUtils.get(canonicalIdMap, arg1, arg1); - property = MapUtils.get(canonicalIdMap, property, property); - arg2 = MapUtils.get(canonicalIdMap, arg2, arg2); - - Utils.writeTriple(out, arg1, property, arg2); - } - in.close(); - } catch (IOException e) { - throw new RuntimeException(e); - } - out.close(); - LogInfo.end_track(); - } - - public static void main(String[] args) { - Execution.run(args, new CanonicalizeIds()); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseInfo.java b/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseInfo.java index ab8536f..5a7224d 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseInfo.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseInfo.java @@ -34,9 +34,6 @@ public final class DatabaseInfo { } public static class Options { - @Option(gloss = "ttl file with schema information") - public String schemaPath; //"lib/fb_data/93.exec/schema2.ttl"; - public static String defaultDB; //"lib/fb_data/93.exec/schema2.ttl"; public static void setDefault(String formula){ @@ -81,110 +78,12 @@ public final class DatabaseInfo { private DatabaseInfo() { try { - opts.schemaPath = ConfigManager.SCHEMA_FILE; glossary = ConfigManager.DB_GLOSSARY; mapTypes = ConfigManager.DB_TYPES; } catch (Exception e) { throw new RuntimeException(e); } - try { - readSchema(); - } catch (NumberFormatException e) { - throw new RuntimeException(e); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - /** - * Go over schema twice - once to populate all fields except descriptions, the second time we populate descriptions after we now what - * are the properties we are interested in - * @throws NumberFormatException - * @throws IOException - */ - // TODO: Rewrite - public void readSchema() throws IOException { - LogInfo.begin_track("Loading Database schema: %s", opts.schemaPath); - BufferedReader in = IOUtils.openInHard(opts.schemaPath); - - // Include mediator types - SemTypeHierarchy.singleton.addSupertype(getType("fb:","CVT"), getType("fb:","CVT")); - SemTypeHierarchy.singleton.addSupertype(getType("fb:","CVT"), getType("fb:","ANY")); - - String line; - while ((line = in.readLine()) != null) { - String[] tokens = edu.stanford.nlp.sempre.roboy.Utils.parseTriple(line); - if (tokens == null) continue; - String arg1 = tokens[0]; - String property = tokens[1]; - String arg2 = tokens[2]; - - if (property.equals("fb:type.property.reverse_property")) { // reverse_property => opposite_property - // Duplicates logically really shouldn't happen but the Database RDF - // reverse properties are not 1:1. We should monitor this and make - // sure we don't lose any alignments. - if (masterToOppositeMap.containsKey(arg1)) { - // LogInfo.errors("arg1 exists multiple times: %s", line); - continue; - } - if (masterToOppositeMap.inverse().containsKey(arg2)) { - // LogInfo.errors("arg2 exists multiple times: %s", line); - continue; - } - masterToOppositeMap.put(arg1, arg2); - } else if (property.equals("fb:freebase.type_hints.included_types")) { // included_types => supertypes - SemTypeHierarchy.singleton.addSupertype(arg1, arg2); - SemTypeHierarchy.singleton.addEntitySupertypes(arg1); - SemTypeHierarchy.singleton.addEntitySupertypes(arg2); - } else if (property.equals("fb:freebase.type_hints.mediator")) { // mediator => cvt - if (arg2.equals("\"true\"^^xsd:boolean")) cvts.add(arg1); - else if (arg2.equals("\"false\"^^xsd:boolean")) cvts.remove(arg1); - else throw new RuntimeException("Invalid xsd:boolean: " + arg2); - } else if (property.equals("fb:type.property.schema")) { // schema => type1 - if (type1Map.containsKey(arg1)) - LogInfo.errors("%s already has type1 %s, assigning %s", arg1, type1Map.get(arg1), arg2); - type1Map.put(arg1, arg2); - } else if (property.equals("fb:type.property.expected_type")) { // expected_type => type2 - if (type2Map.containsKey(arg1)) - LogInfo.errors("%s already has type2 %s, assigning %s", arg1, type2Map.get(arg1), arg2); - type2Map.put(arg1, arg2); - } else if (property.equals("fb:type.property.unit")) { - unit2Map.put(arg1, arg2); - } else if (property.equals("fb:user.custom.type.property.num_instances")) { - bPopularityMap.put(arg1, edu.stanford.nlp.sempre.roboy.Utils.parseInt(arg2)); - } else if (property.equals("fb:user.custom.people.person.profession.num_instances")) { - professionPopularityMap.put(arg1, edu.stanford.nlp.sempre.roboy.Utils.parseInt(arg2)); - } else if (property.equals("fb:user.custom.type.object.type.num_instances")) { - typePopularityMap.put(arg1, edu.stanford.nlp.sempre.roboy.Utils.parseInt(arg2)); - } - } - in.close(); - - // Second iteration - populate descriptions assumes all properties have the fb:type.property.num_instances field - in = IOUtils.openInHard(opts.schemaPath); - while ((line = in.readLine()) != null) { - String[] tokens = edu.stanford.nlp.sempre.roboy.Utils.parseTriple(line); - if (tokens == null) continue; - String arg1 = tokens[0]; - String property = tokens[1]; - String arg2 = tokens[2]; - - if (property.equals(getType("fb:","NAME")) || property.equals(getType("fb:","ALIAS"))) { - if (bPopularityMap.containsKey(arg1)) { - MapUtils.addToList(bDescriptionsMap, arg1, edu.stanford.nlp.sempre.roboy.Utils.parseStr(arg2).toLowerCase()); - } else if (professionPopularityMap.containsKey(arg1)) { - MapUtils.addToList(professionDescriptionsMap, arg1, edu.stanford.nlp.sempre.roboy.Utils.parseStr(arg2).toLowerCase()); - } else if (typePopularityMap.containsKey(arg1)) { - MapUtils.addToList(typeDescriptionsMap, arg1, edu.stanford.nlp.sempre.roboy.Utils.parseStr(arg2).toLowerCase()); - } - } - - if (property.equals(getType("fb:","NAME"))) - nameMap.put(arg1, edu.stanford.nlp.sempre.roboy.Utils.parseStr(arg2)); - } - LogInfo.logs("%d CVTs, (%d,%d) property types, %d property units", cvts.size(), type1Map.size(), type2Map.size(), unit2Map.size()); - LogInfo.end_track(); } public Map createBinaryFormulaInfoMap() { diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseSearch.java b/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseSearch.java deleted file mode 100644 index 6f17380..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/DatabaseSearch.java +++ /dev/null @@ -1,165 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import edu.stanford.nlp.sempre.*; -import edu.stanford.nlp.sempre.cache.StringCache; -import edu.stanford.nlp.sempre.cache.StringCacheUtils; -import fig.basic.*; -import java.io.*; -import java.net.SocketTimeoutException; -import java.net.URL; -import java.net.URLConnection; -import java.net.URLEncoder; -import java.util.*; - -/** - * Looks for certain keyword in different Databases APIs - * - * @maintainer emlozin - * - * Based on FreebaseSearch class - * @author Percy Liang - * - */ -public class DatabaseSearch { - public static class Entry { - public Entry(String mid, String id, String name, double score) { - this.mid = mid; - this.id = id; - this.name = name; - this.score = score; - } - - public final String mid; - public final String id; - public final String name; - public final double score; - - public LispTree toLispTree() { - LispTree tree = LispTree.proto.newList(); - tree.addChild(mid); - tree.addChild(id == null ? "" : id); - tree.addChild(name); - tree.addChild(score + ""); - return tree; - } - - public String toString() { return toLispTree().toString(); } - } - - public static class Options { - @Option(gloss = "Milliseconds to wait until opening connection times out") - public int connectTimeoutMs = 1 * 60 * 1000; - - @Option(gloss = "Milliseconds to wait until reading connection times out") - public int readTimeoutMs = 1 * 60 * 1000; - - @Option(gloss = "API key (needed to get more access)") - public String apiKey; - - @Option(gloss = "Save results of Freebase API search") - public String cachePath; - } - public static Options opts = new Options(); - - private final StringCache cache; - - public class ServerResponse { - public ServerResponse() { this.entries = new ArrayList<>(); this.error = null; } - public ServerResponse(ErrorValue error) { this.entries = null; this.error = error; } - public final List entries; - public final ErrorValue error; - boolean cached; - long timeMs; - } - - public DatabaseSearch() { - if (opts.cachePath != null) - this.cache = StringCacheUtils.create(opts.cachePath); - else - this.cache = null; - } - - @SuppressWarnings("unchecked") - public ServerResponse lookup(String query) { - StopWatch watch = new StopWatch(); - watch.start(); - String output = null; - ServerResponse response = new ServerResponse(); - - // First, try the cache. - if (cache != null) { - output = cache.get(query); - if (output != null) response.cached = true; - } - - // If got nothing, then need to hit the server. - if (output == null) { - try { - // Setup the connection - // TODO: Change to property - String url = String.format("https://www.googleapis.com/freebase/v1/search?query=%s", URLEncoder.encode(query, "UTF-8")); - if (opts.apiKey != null) url += "&key=" + opts.apiKey; - URLConnection conn = new URL(url).openConnection(); - conn.setConnectTimeout(opts.connectTimeoutMs); - conn.setReadTimeout(opts.readTimeoutMs); - InputStream in = conn.getInputStream(); - - // Read the response - StringBuilder buf = new StringBuilder(); - BufferedReader reader = new BufferedReader(new InputStreamReader(in)); - String line; - while ((line = reader.readLine()) != null) - buf.append(line); - reader.close(); - - // Put the result in the cache - output = buf.toString(); - if (cache != null) - cache.put(query, output); - - } catch (SocketTimeoutException e) { - return new ServerResponse(ErrorValue.timeout); - } catch (IOException e) { - LogInfo.errors("Server exception: %s", e); - if (e.toString().contains("HTTP response code: 408")) - return new ServerResponse(ErrorValue.server408); - if (e.toString().contains("HTTP response code: 500")) - return new ServerResponse(ErrorValue.server500); - throw new RuntimeException(e); // Haven't seen this happen yet... - } - } - - // TODO: Analyze types differently - // Parse the result - Map results = Json.readMapHard(output); - for (Object resultObj : (List) results.get("result")) { - Map result = (Map) resultObj; - String mid = (String) result.get("mid"); - String id = (String) result.get("id"); - mid = toRDF(mid); - id = toRDF(id); - String name = (String) result.get("name"); - double score = (double) result.get("score"); - response.entries.add(new Entry(mid, id, name, score)); - } - - watch.stop(); - response.timeMs = watch.getCurrTimeLong(); - LogInfo.logs("DatabaseSearch %s => %s results (cached=%s)", query, response.entries.size(), response.cached); - return response; - } - - // /en/barack_obama => fb:en.barack_obama - private String toRDF(String s) { - if (s == null) return s; - return "fb:" + s.substring(1).replaceAll("/", "."); - } - - public static void main(String[] args) { - opts.cachePath = "DatabaseSearch.cache"; - String query = StrUtils.join(args, " "); - query = "obama"; - DatabaseSearch search = new DatabaseSearch(); - LogInfo.logs("%s", search.lookup(query).entries); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorInfo.java b/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorInfo.java deleted file mode 100644 index 9a10eab..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorInfo.java +++ /dev/null @@ -1,142 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import com.google.gson.Gson; -import com.google.gson.reflect.TypeToken; -import com.google.gson.stream.JsonReader; -import fig.basic.LogInfo; -import fig.basic.MemUsage; - -import java.io.FileReader; -import java.lang.reflect.Type; -import java.util.*; - -/** - * Represents result of information extraction analysis of a sentence - * (provided by some KnowledgeRetriever). - * - * @author emlozin - */ -public class ErrorInfo implements MemUsage.Instrumented { - private Gson gson = new Gson(); - private String utterance = new String(); /**< Current user utterance*/ - private Map> follow_up - = new HashMap<>(); /**< Map of entity - follow up questions pairs*/ - private Map> candidates - = new HashMap<>(); /**< Map of underspecified terms*/ - private Map> candidates_scored - = new HashMap<>(); /**< Map of underspecified terms paired with scores*/ -// -// public ErrorInfo() { -// this.follow_up = new HashMap<>(); -// this.underspecified = new HashMap<>(); -// } - - public void setCandidates(Map> candidates){ - this.candidates = candidates; - } - - public void setScored(Map> scores){ - this.candidates_scored = scores; - } - - public void setFollowUps(Map> follow_up){ - this.follow_up = follow_up; - } - - public Map> getCandidates(){ - return this.candidates; - } - - public Map> getScored(){ - return this.candidates_scored; - } - - public Map> getFollowUps(){ - return this.follow_up; - } - -// public void addCandidates(ErrorInfo errorInfo){ -// for (String key: errorInfo.getCandidates().keySet()){ -// if (this.candidates.containsKey(key)) -// { -// this.candidates.get(key).addAll(errorInfo.getCandidates().get(key)); -// } -// else -// this.candidates.put(key, errorInfo.getCandidates().get(key)); -// } -// } - - public void addCandidates(ErrorInfo errorInfo){ - // Add all to list - for (String key: errorInfo.getCandidates().keySet()){ - if (this.candidates.containsKey(key)) { - // Check for common uris - Map> uris = new HashMap<>(); - for (String candidate: this.candidates.get(key)) { - Type type = new TypeToken>(){}.getType(); - Map c = this.gson.fromJson(candidate, type); - if (uris.containsKey(c.get("URI"))) { - // URI already present - uris.get(c.get("URI")).put("Refcount",Double.toString(Double.parseDouble(uris.get(c.get("URI")).get("Refcount"))+Double.parseDouble(c.get("Refcount")))); - } - else - uris.put(c.get("URI"),c); - } - Map> new_uris = new HashMap<>(); - for (String candidate: errorInfo.getCandidates().get(key)) { - Type type = new TypeToken>(){}.getType(); - Map c = this.gson.fromJson(candidate, type); - if (new_uris.containsKey(c.get("URI"))) { - // URI already present - new_uris.get(c.get("URI")).put("Refcount",Double.toString(Double.parseDouble(new_uris.get(c.get("URI")).get("Refcount"))+Double.parseDouble(c.get("Refcount")))); - } - else - new_uris.put(c.get("URI"),c); - } - for (String uri: new_uris.keySet()) { - if (uris.containsKey(uri)) - { - new_uris.get(uri).put("Refcount",Double.toString(Double.parseDouble(uris.get(uri).get("Refcount")) + Double.parseDouble(new_uris.get(uri).get("Refcount")))); - this.candidates.get(key).remove(this.gson.toJson(uris.get(uri))); - this.candidates.get(key).add(this.gson.toJson(new_uris.get(uri))); - } - else - { - this.candidates.get(key).add(this.gson.toJson(new_uris.get(uri))); - } - } - } - else - this.candidates.put(key, errorInfo.getCandidates().get(key)); - } - } - - public void addScores(ErrorInfo errorInfo){ - if (this.candidates_scored.isEmpty()) - this.candidates_scored = errorInfo.getScored(); - else { - for (String key : errorInfo.getScored().keySet()) { - if (this.candidates_scored.containsKey(key)){ - for (String record : errorInfo.getScored().get(key).keySet()) { - if (this.candidates_scored.get(key).containsKey(record)) { - double score = this.candidates_scored.get(key).get(record) - + errorInfo.getScored().get(key).get(record); - this.candidates_scored.get(key).put(record, score); - } - else - this.candidates_scored.get(key).put(record,errorInfo.getScored().get(key).get(record)); - } - } - else{ - this.candidates_scored.put(key,errorInfo.getScored().get(key)); - } - } - } - } - - @Override - public long getBytes() { - return MemUsage.objectSize(MemUsage.pointerSize * 2) + MemUsage.getBytes(follow_up) - + MemUsage.getBytes(candidates) + + MemUsage.getBytes(candidates_scored); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java b/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java index ab80ee1..d46906d 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java @@ -10,12 +10,9 @@ import edu.stanford.nlp.sempre.roboy.score.*; import edu.stanford.nlp.sempre.roboy.utils.SparqlUtils; import fig.basic.LispTree; import fig.basic.LogInfo; -import fig.basic.Option; -import sun.rmi.runtime.Log; import java.lang.reflect.Type; import java.util.*; -import java.util.stream.IntStream; /** * Error retrieval class. Handles dealing with unknown terms error. @@ -29,7 +26,7 @@ public class ErrorRetrieval { private String utterance; /**< Currently processed user utterance */ private ContextValue context; /**< Context Value storing history of a conversation */ private List derivations; /**< List of predicted derivations */ - private UnspecInfo underInfo; /**< Error solutions object */ + private UnderspecifiedInfo underInfo; /**< Error solutions object */ public String dbpediaUrl = ConfigManager.DB_SPARQL; /**< DBpedia SPARQL endpoint */ private SparqlUtils sparqlUtil = new SparqlUtils(); /**< SPARQL helper */ @@ -52,7 +49,7 @@ public class ErrorRetrieval { this.utterance = utterance; this.context = context; this.derivations = derivations; - this.underInfo = new UnspecInfo(); + this.underInfo = new UnderspecifiedInfo(); this.lexiconGen = new LexiconGenerator(); // Add error retrieval mechanisms @@ -68,6 +65,7 @@ public class ErrorRetrieval { } // Add scoring functions + this.scorers = new ArrayList<>(); this.scorers.add(new Word2VecScore(this.vec)); this.scorers.add(new ContextScore(this.vec)); this.scorers.add(new ProbabilityScore(this.vec)); @@ -79,33 +77,7 @@ public class ErrorRetrieval { */ public ErrorRetrieval(){ // Create base objects - this.follow_ups = ConfigManager.FOLLOW_UPS; - this.utterance = null; - this.context = null; - this.derivations = null; - this.underInfo = new UnspecInfo(); - this.lexiconGen = new LexiconGenerator(); - - // Adding error retrieval mechanisms - this.helpers = new ArrayList<>(); - this.helpers.add(new LabelRetriever()); - this.helpers.add(new EntityRetriever()); - this.helpers.add(new MCGRetriever()); - try { - this.vec = new Word2vec(); - this.helpers.add(new Word2VecRetriever(this.vec)); - }catch(Exception e){ - LogInfo.errors("Exception in Word2Vec: "+e.getMessage()); - } - - - // Adding scoring functions - this.scorers = new ArrayList<>(); - this.scorers.add(new Word2VecScore(this.vec)); - this.scorers.add(new ContextScore(this.vec)); - this.scorers.add(new SimilarityScore(this.vec)); - this.scorers.add(new ProbabilityScore(this.vec)); - + this(null,null,null); } /** @@ -118,7 +90,7 @@ public class ErrorRetrieval { this.utterance = utterance; this.context = context; this.derivations = derivations; - this.underInfo = new UnspecInfo(); + this.underInfo = new UnderspecifiedInfo(); } /** @@ -137,7 +109,7 @@ public class ErrorRetrieval { */ public void updateExample(List derivations){ this.derivations = derivations; - this.underInfo = new UnspecInfo(); + this.underInfo = new UnderspecifiedInfo(); } /** @@ -152,7 +124,7 @@ public class ErrorRetrieval { /** * Getter function for error informations. */ - public UnspecInfo getUnderInfo(){ + public UnderspecifiedInfo getUnderInfo(){ return this.underInfo; } @@ -161,10 +133,10 @@ public class ErrorRetrieval { * Function checking derivation for underspecified terms * @return A list of underspecified terms */ - public List checkUnderspecified () { + public List checkUnderspecified () { // Initialize underspecified terms List foundUnder = new ArrayList<>(); - List underTerms = new ArrayList<>(); + List underTerms = new ArrayList<>(); for (Derivation deriv : this.derivations) { String formula = deriv.getFormula().toString(); while (formula.contains("Open")){ @@ -177,13 +149,13 @@ public class ErrorRetrieval { if (!foundUnder.contains(entity)){ foundUnder.add(entity); if (full_type.contains("Entity")){ - underTerms.add(new UnspecInfo(entity, UnspecInfo.TermType.ENTITY)); + underTerms.add(new UnderspecifiedInfo(entity, UnderspecifiedInfo.TermType.ENTITY)); } else if (full_type.contains("Type")){ - underTerms.add(new UnspecInfo(entity, UnspecInfo.TermType.TYPE)); + underTerms.add(new UnderspecifiedInfo(entity, UnderspecifiedInfo.TermType.TYPE)); } else if (full_type.contains("Rel")){ - underTerms.add(new UnspecInfo(entity, UnspecInfo.TermType.RELATION)); + underTerms.add(new UnderspecifiedInfo(entity, UnderspecifiedInfo.TermType.RELATION)); } } formula = formula.substring(end+2); @@ -197,8 +169,8 @@ public class ErrorRetrieval { * @param termList list of underspecified terms * @return A list of candidates with information about them */ - public List createCandidates(List termList){ - for (UnspecInfo term:termList) { + public List createCandidates(List termList){ + for (UnderspecifiedInfo term:termList) { LogInfo.begin_track("Analyzing term: %s", term.term); for (KnowledgeRetriever helper : this.helpers) { @@ -214,8 +186,8 @@ public class ErrorRetrieval { * @param termList list of underspecified terms * @return A list of candidates with information about them */ - public List createScores(List termList){ - for (UnspecInfo term:termList) { + public List createScores(List termList){ + for (UnderspecifiedInfo term:termList) { LogInfo.begin_track("Scoring term: %s", term.term); for (ScoringFunction scorer : this.scorers) { @@ -231,7 +203,7 @@ public class ErrorRetrieval { * @param underInfo current information about candidates * @return Best candidate */ - public String getBestCandidate(UnspecInfo underInfo){ + public String getBestCandidate(UnderspecifiedInfo underInfo){ // Sort all the scores List sorted = new ArrayList<>(); sorted.addAll(underInfo.candidatesScores); @@ -242,7 +214,8 @@ public class ErrorRetrieval { int index = underInfo.candidatesScores.indexOf(sorted.get(0)); // Best candidate String result = underInfo.candidates.get(index); - if (sorted.get(0) < ConfigManager.FOLLOW_THRES || (sorted.get(1)/sorted.get(0)) > 0.8) { + + if (sorted.get(0) < ConfigManager.FOLLOW_THRES || (sorted.size() > 1 && (sorted.get(1)/sorted.get(0)) > 0.8)) { List candidates = new ArrayList<>(); candidates.add(underInfo.candidatesInfo.get(index)); double current = sorted.get(0); @@ -394,8 +367,6 @@ public class ErrorRetrieval { */ public List postprocess(){ // Create and score candidates - ErrorInfo result = new ErrorInfo(); - Set update = new HashSet<>(); LogInfo.begin_track("Error retrieval:"); // Remove derivations that are the same List remove = new ArrayList(); @@ -414,9 +385,9 @@ public class ErrorRetrieval { if (this.derivations != null) { // Get term - List missingTerms = checkUnderspecified(); + List missingTerms = checkUnderspecified(); if (ConfigManager.DEBUG > 0) { - for (UnspecInfo i : missingTerms) { + for (UnderspecifiedInfo i : missingTerms) { LogInfo.logs("Detected underspecified term: %s %s", i.term, i.type.name()); } } @@ -424,7 +395,7 @@ public class ErrorRetrieval { // Get candidate list with information missingTerms = createCandidates(missingTerms); if (ConfigManager.DEBUG > 1) { - for (UnspecInfo termInfo : missingTerms) { + for (UnderspecifiedInfo termInfo : missingTerms) { for (int i = 0; i < termInfo.candidatesInfo.size(); i++) { LogInfo.logs("Final candidates: %s", termInfo.candidatesInfo.get(i).toString()); } @@ -435,7 +406,7 @@ public class ErrorRetrieval { missingTerms = createScores(missingTerms); missingTerms = lexiconGen.createLexemes(missingTerms); if (ConfigManager.DEBUG > 1) { - for (UnspecInfo termInfo : missingTerms) { + for (UnderspecifiedInfo termInfo : missingTerms) { for (int i = 0; i < termInfo.candidatesScores.size(); i++) { LogInfo.logs("Final scores: %s %f", termInfo.candidates.get(i), termInfo.candidatesScores.get(i)); } @@ -444,7 +415,7 @@ public class ErrorRetrieval { // Get replacements Map replaces = new HashMap<>(); - for (UnspecInfo termInfo : missingTerms) + for (UnderspecifiedInfo termInfo : missingTerms) { replaces.put(termInfo.term,getBestCandidate(termInfo)); } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/ExecuteExamples.java b/src/main/java/edu/stanford/nlp/sempre/roboy/ExecuteExamples.java deleted file mode 100644 index 03201f6..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/ExecuteExamples.java +++ /dev/null @@ -1,84 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import edu.stanford.nlp.sempre.*; - -import com.google.common.base.Function; -import fig.basic.LispTree; -import fig.basic.LogInfo; -import fig.basic.Option; -import fig.exec.Execution; - -import java.util.HashMap; -import java.util.Iterator; -import java.util.List; -import java.util.Map; - -/** - * Executes all examples and reports any badness. - * Was used to prepare the Free917 dataset. - * - * @author Percy Liang - */ -public class ExecuteExamples implements Runnable { - @Option(required = true, gloss = "Input path to examples to canonicalize") - public List examplesPaths; - - SparqlExecutor executor; - Map cache = new HashMap(); - - private boolean queryReturnsResults(Formula formula) { - // If counting, look inside to make sure the actual set is non-empty. - if (formula instanceof AggregateFormula) - formula = ((AggregateFormula) formula).child; - - Executor.Response response = cache.get(formula); - if (response == null) - cache.put(formula, response = executor.execute(formula, null)); - if (!(response.value instanceof ListValue) || - ((ListValue) response.value).values.size() == 0) { - LogInfo.logs("BAD QUERY: %s => %s", formula, response.value); - return false; - } else { - LogInfo.logs("GOOD QUERY: %s => %s", formula, response.value); - return true; - } - } - - // Test each individual nested NameFormula. - public Formula test(Formula formula) { - return formula.map( - new Function() { - public Formula apply(Formula formula) { - String name = Formulas.getNameId(formula); - if (name != null) { - if (name.startsWith("!")) name = name.substring(1); - queryReturnsResults(Formulas.newNameFormula(name)); - } - return null; - } - }); - } - - public void run() { - executor = new SparqlExecutor(); - for (String path : examplesPaths) { - Iterator it = LispTree.proto.parseFromFile(path); - while (it.hasNext()) { - LispTree tree = it.next(); - if (!"example".equals(tree.child(0).value)) - throw new RuntimeException("Bad: " + tree); - for (int i = 1; i < tree.children.size(); i++) { - if ("targetFormula".equals(tree.child(i).child(0).value)) { - Formula formula = Formulas.fromLispTree(tree.child(i).child(1)); - formula = test(formula); - queryReturnsResults(formula); - } - } - } - } - } - - public static void main(String[] args) { - Execution.run(args, new ExecuteExamples(), "SparqlExecutor", SparqlExecutor.opts); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/FreebaseTypeLookup.java b/src/main/java/edu/stanford/nlp/sempre/roboy/FreebaseTypeLookup.java deleted file mode 100644 index 3b3d3db..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/FreebaseTypeLookup.java +++ /dev/null @@ -1,64 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import java.util.*; -import edu.stanford.nlp.sempre.*; -import edu.stanford.nlp.sempre.cache.*; -import fig.basic.*; - -/** - * Provides types of Freebase entities and properties. - * For entities, look them up (requires access to the cache file). - * For properties, just look them up in the FreebaseInfo schema. - */ -public class FreebaseTypeLookup implements TypeLookup { - public static class Options { - @Option(gloss = "Cache path to the types path") - public String entityTypesPath; - } - public static Options opts = new Options(); - - // Given those ids, we retrieve the set of types - private static StringCache entityTypesCache; - - public Set getEntityTypes(String entity) { - if (opts.entityTypesPath == null) - return Collections.singleton(DatabaseInfo.getType("fb:","ENTITY")); - - // Read types from cache - if (entityTypesCache == null) entityTypesCache = StringCacheUtils.create(opts.entityTypesPath); - Set types = new HashSet<>(); - String typesStr = entityTypesCache.get(entity); - if (typesStr != null) { - Collections.addAll(types, typesStr.split(",")); - } else { - types.add(DatabaseInfo.getType("fb:","ENTITY")); - } - return types; - } - - @Override - public SemType getEntityType(String entity) { - Set types = getEntityTypes(entity); - // Remove supertypes - // TODO(pliang): this is inefficient! - Set resultTypes = new HashSet<>(types); - for (String entityType : types) { - for (String supertype : SemTypeHierarchy.singleton.getSupertypes(entityType)) { - if (!supertype.equals(entityType)) - resultTypes.remove(supertype); - } - } - return SemType.newUnionSemType(resultTypes); - } - - @Override - public SemType getPropertyType(String property) { - // property = fb:location.location.area - // arg1Type = fb:location.location --> becomes retType (head of formula) - // arg2Type = fb:type.float --> becomes argType - DatabaseInfo info = DatabaseInfo.getSingleton(); - String arg1Type = info.getArg1Type(property), arg2Type = info.getArg2Type(property); - if (arg1Type == null || arg2Type == null) return null; - return SemType.newFuncSemType(arg2Type, arg1Type); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/LambdaCalculusConverter.java b/src/main/java/edu/stanford/nlp/sempre/roboy/LambdaCalculusConverter.java deleted file mode 100644 index e7d2868..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/LambdaCalculusConverter.java +++ /dev/null @@ -1,552 +0,0 @@ -package edu.stanford.nlp.sempre.roboy; - -import edu.stanford.nlp.sempre.*; -import fig.basic.*; -import fig.exec.Execution; - -import java.io.BufferedReader; -import java.io.IOException; -import java.io.PrintWriter; -import java.util.*; - -/** - * Converts Luke Zettlemoyer's lambda calculus data format into our example files. - * @author Percy Liang - * @author Ziang Xie - */ - -public class LambdaCalculusConverter implements Runnable { - public static class Options { - @Option(gloss = "Input path (lambda calculus)") - public String inPath = "overnight/geo/geosents280-typed.ccg.test.new"; - @Option(gloss = "Specification of translations") - public String specPath = "overnight/geo/geo.spec"; - @Option(gloss = "Specification of variable names") - public String varPath = "overnight/geo/geo.vars"; - @Option(gloss = "Specification of primitive types") - public String primPath = "overnight/geo/geo.primitives"; - @Option(gloss = "Specification of formula replacements") - public String replacePath = "overnight/geo/geo.replace"; - @Option(gloss = "Specification of manual conversions") - public String manualConversionsPath = "overnight/geo/geo.manual_conversions"; - @Option(gloss = "Output path (examples)") - public String outPath = "overnight/geo/geo.out.json"; - @Option(gloss = "Specific example to parse and run") - public int runInd = -1; - @Option(gloss = "Output path for lexicon grammar") - public String lexiconPath = "overnight/geo/geo.out.grammar"; - @Option(gloss = "Verbose output (for debugging)") - public boolean verbose = false; // TODO Currently unused - } - public static Options opts = new Options(); - - // Mapping between predicates - Map predicatesMap = new HashMap(); - // Mapping from variables in the input (e.g. "$1") to our variables (e.g. "x") - Map varMap = new HashMap(); - // Mapping from types (e.g. "i" in "population:i") to semparse primitive types - Map primitiveMap = new HashMap(); - // Hardcoded replacements for mis-specified formulas in the input - Map replaceMap = new HashMap(); - // Hardcoded conversions for where the converter fails - Map manualConversionsMap = new HashMap(); - - // Colorize output - Colorizer color = new Colorizer(); - - // Examples to be converted - List examples = new ArrayList(); - // Indices of examples that were executed without error - List validExampleIds = new ArrayList(); - List failedExampleIds = new ArrayList(); - // Use this to later sort the valid examples - List validExampleLengths = new ArrayList(); - - public void run() { - readPrereqs(); - - convertExamples(); - executeExamples(); - - if (opts.runInd < 0) { - writeExamples(); - printSummary(); - } - } - - public void readPrereqs() { - LogInfo.begin_track("Reading prereq"); - readSpec(); - readPrimitives(); - readVars(); - readStringMap(opts.replacePath, replaceMap); - readStringMap(opts.manualConversionsPath, manualConversionsMap); - LogInfo.end_track(); - } - - void readSpec() { - for (String line : IOUtils.readLinesHard(opts.specPath)) { - if (line.startsWith("#")) continue; - if (line.equals("")) continue; - String[] tokens = line.split(" ", 2); - predicatesMap.put(tokens[0], Formula.fromString(tokens[1])); - } - } - - void readPrimitives() { - for (String line : IOUtils.readLinesHard(opts.primPath)) { - if (line.startsWith("#")) continue; - if (line.equals("")) continue; - String[] tokens = line.split(" ", 2); - primitiveMap.put(tokens[0], tokens[1]); - } - } - - void readVars() { - for (String line : IOUtils.readLinesHard(opts.varPath)) { - if (line.startsWith("#")) continue; - if (line.equals("")) continue; - String[] tokens = line.split(" ", 2); - varMap.put(tokens[0], Formula.fromString(tokens[1])); - } - } - - void readStringMap(String path, Map map) { - boolean readOriginal = false; - String original = ""; - for (String line : IOUtils.readLinesHard(path)) { - if (line.startsWith("#")) continue; - if (line.equals("")) continue; - if (!readOriginal) { - readOriginal = true; - original = line; - } else { - readOriginal = false; - map.put(original, line); - } - } - } - - Formula toPredicate(String func) { - boolean reverse = false; - while (func.startsWith("!")) { - LogInfo.log(func); - reverse = !reverse; - func = func.substring(1); - } - if (!predicatesMap.containsKey(func)) - func = removeGeoType(func); - if (func.startsWith("$")) - return Formula.fromString(String.format("(var %s)", toVariable(func).toString())); - if (!predicatesMap.containsKey(func)) { - throw new RuntimeException("Unknown predicate: " + func); - } - Formula form = predicatesMap.get(func); - if (reverse) { - return new ReverseFormula(form); - } else { - return form; - } - } - - Formula toLambdaVar(String var) { - return toVariable(var); - } - - boolean isVar(String var) { - return var != null && var.startsWith("$"); - } - - Formula toVariable(String var) { - var = removeGeoType(var); - if (!varMap.containsKey(var)) { - throw new RuntimeException("Unknown variable: " + var); - } - return varMap.get(var); - } - - // FIXME Not general to converters - String removeGeoType(String pred) { - return pred.split(":", 2)[0]; - } - - String getGeoType(String pred) { - String[] parts = pred.split(":", 2); - if (parts.length > 0) - return parts[1]; - return ""; - } - - Formula toJoin(String func, Formula arg) { - return new JoinFormula(toPredicate(func), arg); - } - - Formula toLambda(String var, Formula body) { - return new LambdaFormula(toLambdaVar(var).toString(), body); - } - - Formula toMark(String var, Formula body) { - return new MarkFormula(toPredicate(var).toString(), body); - } - - Formula toAndFormula(List clauses, boolean[] hit, String headVar, List existsVars) { - // (and (river:t $1) (loc:t $1 $0)) - Formula formula = null; - for (int i = 0; i < clauses.size(); i++) { - if (hit[i]) { - LogInfo.log("hit " + i); - continue; - } - // if (!hasHeadVar(clauses.get(i), headVar)) continue; - hit[i] = true; - LispTree tree = clauses.get(i); - Formula newFormula = toFormula(tree, headVar, existsVars); - if (formula == null) formula = newFormula; - else { - formula = new MergeFormula(MergeFormula.Mode.and, formula, newFormula); - } - } - return formula; - } - - Formula toOrFormula(List clauses, boolean[] hit, String headVar, List existsVars) { - // (or (town:t $1) (city:t $1)) - LogInfo.log("# or clauses: " + clauses.size()); - Formula formula = null; - for (int i = 0; i < clauses.size(); i++) { - if (hit[i]) { - LogInfo.log("hit " + i); - continue; - } - // if (!hasHeadVar(clauses.get(i), headVar)) continue; - hit[i] = true; - LispTree tree = clauses.get(i); - Formula newFormula = toFormula(tree, headVar, existsVars); - if (formula == null) formula = newFormula; - else { - formula = new MergeFormula(MergeFormula.Mode.or, formula, newFormula); - } - } - return formula; - } - - boolean validVar(String var, String headVar, List existsVars) { - if (var == null) - return false; - if (!var.startsWith("$")) - return true; - - boolean valid = false; - if (var.equals(headVar)) - valid = true; - if (existsVars != null && existsVars.contains(var)) - valid = true; - return valid; - } - - Formula toPrimitive(String s) { - String[] parts = s.split(":", 2); - if (parts.length < 2) - return null; - String type = parts[1]; - String primitive = primitiveMap.get(type); - if (primitive == null) - return null; - // if (primitive.equals("string")) - // parts[0] = capitalizeWords(parts[0]); - // return Formula.fromString(String.format("(%s %s)", primitive, parts[0])); - if (primitive.equals("string")) - return Formula.fromString(String.format("(!fb:type.object.name fb:en.%s)", parts[0])); - - return Formula.fromString(String.format("(%s %s)", primitive, parts[0])); - } - - Formula handleExists(LispTree tree, String headVar, List existsVars) { - // (exists $1 (and (river:t $1) (loc:t $1 $0))) - String eVar = tree.child(1).value; - existsVars.add(eVar); - // FIXME Currently assuming format where exists contains and statement with - // n clauses where first n - 1 clauses describe exists var and last clause - // relates exists var to the head var - List andTreeList = tree.child(2).children; - // FIXME Don't assume and tree - LispTree newAndTree = LispTree.proto.newList(); - - int predTreeInd = -1; - int numPredTrees = 0; - for (int k = 0; k < andTreeList.size(); k++) { - String childStr = andTreeList.get(k).toString(); - if (childStr.contains(headVar)) { - predTreeInd = k; - numPredTrees++; - } - } - - String func = tree.child(2).child(0).value; - if (numPredTrees == 0 || func.equals("exists")) { - return toLambda(eVar, toFormula(tree.child(2), eVar, existsVars)); - } - - newAndTree.children = new ArrayList(andTreeList.subList(0, andTreeList.size())); - LispTree predTree = newAndTree.children.remove(predTreeInd); - if (newAndTree.children.size() == 2) - newAndTree = newAndTree.child(1); - - LispTree newPredTree = LispTree.proto.parseFromString(predTree.toString().replace(eVar, newAndTree.toString())); - - Formula form = toFormula(newPredTree, eVar, existsVars); - existsVars.remove(eVar); - return form; - } - - // hit: ignore these clauses in (and ...) constructions - public Formula toFormula(LispTree tree, String headVar, List existsVars) { - - if (tree.isLeaf()) { - Formula s = toPrimitive(tree.toString()); - if (s != null) - return s; - return toPredicate(tree.toString()); - } - - String func = tree.child(0).value; - - if (func.equals("lambda")) { - // (lambda $0 e (and (river:t $0) (loc:t $0 arkansas:s))) - return toFormula(tree.child(3), tree.child(1).value, existsVars); - } else if (func.equals("count")) { - // (count $0 (and (river:t $0) (loc:t $0 washington:s))) - String countVar = tree.child(1).value; - if (headVar == null) - headVar = countVar; - if (!countVar.equals(headVar) && !existsVars.contains(countVar)) { - - return toLambda(countVar, new AggregateFormula(AggregateFormula.Mode.count, toFormula(tree.child(2), countVar, existsVars))); - } else - return new AggregateFormula(AggregateFormula.Mode.count, toFormula(tree.child(2), countVar, existsVars)); - } else if (func.equals("sum")) { - // (sum $0 (and (state:t $0) (next_to:t $0 texas:s)) (population:i $0)) - String numFunc = tree.child(3).child(0).value; - return new AggregateFormula(AggregateFormula.Mode.sum, - toJoin(numFunc, toFormula(tree.child(2), tree.child(1).value, existsVars))); - } else if (func.equals("argmax") || func.equals("argmin")) { - // (argmax $0 (state:t $0) (density:i $0)) - // (argmin $1 (river:t $1) (len:i $1)) - SuperlativeFormula.Mode mode = SuperlativeFormula.Mode.argmax; - if (func.equals("argmin")) - mode = SuperlativeFormula.Mode.argmin; - String superVar = tree.child(1).value; - Formula headFormula = toFormula(tree.child(2), superVar, existsVars); - Formula degreeFormula = toFormula(tree.child(3), superVar, existsVars); - NumberValue one = new NumberValue(1.0); - Formula rankFormula = new ValueFormula(one); - Formula countFormula = new ValueFormula(one); - // FIXME Hack to handle "most"/"least" expressions - if (tree.child(3).child(0).value.equals("count")) - degreeFormula = new ReverseFormula(degreeFormula); - // FIXME Currently assumes 1 1 - return new SuperlativeFormula(mode, rankFormula, countFormula, headFormula, degreeFormula); - } else if (func.equals("exists")) { - if (headVar == null) - headVar = tree.child(1).value; - return handleExists(tree, headVar, existsVars); - } else if (func.equals("not")) { - return new NotFormula(toFormula(tree.child(1), headVar, existsVars)); - } else if (func.equals("and")) { - return toAndFormula(tree.children.subList(1, tree.children.size()), new boolean[tree.children.size() - 1], headVar, existsVars); - } else if (func.equals("or")) { - return toOrFormula(tree.children.subList(1, tree.children.size()), new boolean[tree.children.size() - 1], headVar, existsVars); - } else { // Predicate - // Find head var - if (tree.children.size() == 2) { // Unary - if (isVar(tree.child(1).value)) { - // FIXME HACK - if (!getGeoType(func).equals("t")) - return toPredicate("!" + func); - return toPredicate(func); - } else - return toJoin(func, toFormula(tree.child(1), headVar, existsVars)); - } else if (tree.children.size() == 3) { // Binary - // FIXME Move elsewhere, there's both a binary and unary "capital:t" - if (func.equals("capital:t")) - func = "is_capital:t"; - - Formula form1 = toFormula(tree.child(1), headVar, existsVars); - Formula form2 = toFormula(tree.child(2), headVar, existsVars); - String first = tree.child(1).value; - String second = tree.child(2).value; - - // FIXME So ugly - boolean secondIsHead = isVar(second) && !existsVars.contains(second); - boolean firstIsHead = isVar(first) && (!existsVars.contains(first) || !secondIsHead); - if (firstIsHead) - return toJoin(func, form2); - else // secondIsHead - return toJoin("!" + func, form1); - // else - // return toJoin(func, form1); - } else { - throw new RuntimeException("Bad arity: " + tree); - } - } - } - - void countTokens(LispTree tree, Map counts) { - if (tree.isLeaf()) - MapUtils.incr(counts, tree.value, 1); - else { - for (LispTree child : tree.children) - countTokens(child, counts); - } - } - - String preprocessPredicates(String lispLine, String utterance) { - // Replacements - boolean replaced = false; - if (replaceMap.containsKey(lispLine)) { - lispLine = replaceMap.get(lispLine); - replaced = true; - } - - // FIXME Assumes that only one "major" in the line - // FIXME Specific to geoquery - if (utterance.contains("major river")) - lispLine = lispLine.replace("major", "major_river"); - else if (utterance.contains("major lake")) - lispLine = lispLine.replace("major", "major_lake"); - else - lispLine = lispLine.replace("major", "major_city"); - - if (utterance.contains("river")) - if (!replaced) - lispLine = lispLine.replace("loc:t", "river_loc:t"); - - lispLine = lispLine.replace("new_york:s", "new_york_state:s"); - - return lispLine; - } - - void convertExamples() { - String line; - int runInd = opts.runInd; - - try { - Example.Builder ex = null; - BufferedReader in = IOUtils.openIn(opts.inPath); - boolean gotUtterance = false; - int newId = 0; - String utterance = ""; - - while ((line = in.readLine()) != null) { - if (line.equals("") || line.startsWith("//")) continue; - if (ex == null) { - newId++; - ex = new Example.Builder(); - ex.setId("" + newId); - gotUtterance = false; - } - - - if (!gotUtterance) { - ex.setUtterance(line); - utterance = line; - gotUtterance = true; - } else { - if (runInd > 0 && newId != runInd) { - ex = null; - continue; - } - - LispTree tree = LispTree.proto.parseFromString(preprocessPredicates(line, utterance)); - LogInfo.logs(color.colorize("IN [%d]: %s", "blue"), newId, utterance); - LogInfo.logs(color.colorize("IN [%d]: %s", "purple"), newId, tree); - ArrayList existsVars = new ArrayList(); - - if (manualConversionsMap.containsKey(line)) { - LogInfo.logs("MANUAL CONVERSION=%s", line); - ex.setTargetFormula(Formula.fromString(manualConversionsMap.get(line))); - } else { - LogInfo.log("AUTOMATIC CONVERSION"); - ex.setTargetFormula(toFormula(tree, null, existsVars)); - } - LogInfo.logs(color.colorize("OUT [%d]: %s", "yellow"), newId, ex.createExample().targetFormula.toLispTree()); - examples.add(ex.createExample()); - ex = null; - } - } - in.close(); - } catch (IOException e) { - throw new RuntimeException(e); - } - } - - void executeExamples() { - int runInd = opts.runInd; - // FIXME Should be passed in - SparqlExecutor.opts.endpointUrl = "http://localhost:3094/sparql"; - SparqlExecutor.opts.cachePath = "SparqlExecutor.cache"; - SparqlExecutor.opts.lambdaAllowDiagonals = false; //jonathan - SparqlExecutor executor = new SparqlExecutor(); - - int exInd = 1; - if (runInd > 0) - exInd = runInd; - for (Example ex : examples) { - // Useful for just testing specific portion of examples - if (runInd > 0 && exInd != runInd) { - break; - } - - LogInfo.logs(color.colorize("[%d] %s", "blue"), exInd, ex.utterance); - LogInfo.logs(color.colorize("[%d] %s", "yellow"), exInd, ex.targetFormula.toString()); - try { - Executor.Response response = executor.execute(ex.targetFormula, null); - LogInfo.logs("\t\t [%d] %s", exInd, response.value.toString()); - validExampleIds.add(exInd); - validExampleLengths.add(ex.utterance.length()); - } catch (RuntimeException e) { - LogInfo.error(e); - failedExampleIds.add(exInd); - } - exInd++; - } - } - - void writeExamples() { - // Sort validExampleIds by the length of the utterance of the example -// Collections.sort(validExampleIds, new Comparator() { -// public int compare(Integer left, Integer right) { -// return Integer.compare(validExampleLengths.get(validExampleIds.indexOf(left)), -// validExampleLengths.get(validExampleIds.indexOf(right))); -// } -// }); - - PrintWriter out = IOUtils.openOutHard(opts.outPath); - out.println("["); // Print out as a list - String indent = " "; - for (int k = 0; k < validExampleIds.size(); k++) { - int j = validExampleIds.get(k) - 1; - Example ex = examples.get(j); - if (k < validExampleIds.size() - 1) - out.println(indent + ex.toJson() + ","); - else - out.println(indent + ex.toJson()); - } - out.println("]"); // Print out as a list - out.close(); - } - - void printSummary() { - LogInfo.logs("%d input examples", examples.size()); - LogInfo.logs("%d successful executions", validExampleIds.size()); - LogInfo.logs("Failed executions (%d):", failedExampleIds.size()); - for (int k : failedExampleIds) { - Example ex = examples.get(k - 1); - LogInfo.log(ex.toJson()); - } - } - - public static void main(String[] args) throws InterruptedException { - Execution.run(args, new LambdaCalculusConverter(), "lcc", LambdaCalculusConverter.opts); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java b/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java index 9cb068e..23f25fa 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java @@ -42,12 +42,12 @@ public class LexiconGenerator { * Function taking care of creating lexemes for lexicon * @param underspec complete list of new terms */ - public List createLexemes(List underspec) + public List createLexemes(List underspec) { - List result = new ArrayList<>(); + List result = new ArrayList<>(); Set lexemes = new HashSet<>(); // Check all underspecified terms - for (UnspecInfo single:underspec) + for (UnderspecifiedInfo single:underspec) { for (int i = 0; i < single.candidates.size(); i++) { @@ -62,7 +62,7 @@ public class LexiconGenerator { if (types.size() > 0) { Type type = new TypeToken>() {}.getType(); Map c = this.gson.fromJson(single.candidatesInfo.get(i), type); - if (single.type == UnspecInfo.TermType.ENTITY) + if (single.type == UnderspecifiedInfo.TermType.ENTITY) single.candidatesScores.set(i, single.candidatesScores.get(i) + 0.3); lexeme.put("lexeme", c.get("Label")); lexeme.put("formula", single.candidates.get(i)); @@ -86,7 +86,7 @@ public class LexiconGenerator { Type type = new TypeToken>() { }.getType(); Map c = this.gson.fromJson(single.candidatesInfo.get(i), type); - if (single.type == UnspecInfo.TermType.TYPE) + if (single.type == UnderspecifiedInfo.TermType.TYPE) single.candidatesScores.set(i, single.candidatesScores.get(i) + 0.3); lexeme.put("lexeme", c.get("Label")); lexeme.put("formula", "(rdf:type " + single.candidates.get(i) + ")"); @@ -103,7 +103,7 @@ public class LexiconGenerator { Type type = new TypeToken>() { }.getType(); Map c = this.gson.fromJson(single.candidatesInfo.get(i), type); - if (single.type == UnspecInfo.TermType.RELATION) + if (single.type == UnderspecifiedInfo.TermType.RELATION) single.candidatesScores.set(i, single.candidatesScores.get(i) + 0.3); lexeme.put("lexeme", c.get("Label")); lexeme.put("formula", single.candidates.get(i)); @@ -123,7 +123,7 @@ public class LexiconGenerator { Type type = new TypeToken>() { }.getType(); Map c = this.gson.fromJson(single.candidatesInfo.get(i), type); - if (single.type == UnspecInfo.TermType.RELATION) + if (single.type == UnderspecifiedInfo.TermType.RELATION) single.candidatesScores.set(i, single.candidatesScores.get(i) + 0.3); lexeme.put("lexeme", c.get("Label")); lexeme.put("formula", single.candidates.get(i)); @@ -152,7 +152,7 @@ public class LexiconGenerator { if (types.size() > 0) { Type type = new TypeToken>() {}.getType(); Map c = this.gson.fromJson(single.candidatesInfo.get(i), type); - if (single.type == UnspecInfo.TermType.RELATION) + if (single.type == UnderspecifiedInfo.TermType.RELATION) single.candidatesScores.set(i, single.candidatesScores.get(i) + 0.1); lexeme.put("lexeme", c.get("Label")); lexeme.put("formula", single.candidates.get(i)); diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/UnspecInfo.java b/src/main/java/edu/stanford/nlp/sempre/roboy/UnderspecifiedInfo.java similarity index 93% rename from src/main/java/edu/stanford/nlp/sempre/roboy/UnspecInfo.java rename to src/main/java/edu/stanford/nlp/sempre/roboy/UnderspecifiedInfo.java index c5a41c9..46a859a 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/UnspecInfo.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/UnderspecifiedInfo.java @@ -1,7 +1,6 @@ package edu.stanford.nlp.sempre.roboy; import com.google.gson.Gson; -import fig.basic.LogInfo; import fig.basic.MemUsage; import java.util.ArrayList; @@ -15,7 +14,7 @@ import java.util.Map; * * @author emlozin */ -public class UnspecInfo implements MemUsage.Instrumented { +public class UnderspecifiedInfo implements MemUsage.Instrumented { public enum TermType{ ENTITY, RELATION, TYPE }; @@ -33,16 +32,16 @@ public class UnspecInfo implements MemUsage.Instrumented { private Gson gson = new Gson(); - public UnspecInfo() { + public UnderspecifiedInfo() { this(null,null); } - public UnspecInfo(String term, TermType type) { + public UnderspecifiedInfo(String term, TermType type) { this.term = term; this.type = type; } - public void addCandidates(UnspecInfo newTerm){ + public void addCandidates(UnderspecifiedInfo newTerm){ // Add all to list if (newTerm.candidatesInfo.size() != newTerm.candidates.size()) throw new RuntimeException("Size mismatch in error retrieval"); @@ -69,7 +68,7 @@ public class UnspecInfo implements MemUsage.Instrumented { } } - public void addScores(UnspecInfo newTerm){ + public void addScores(UnderspecifiedInfo newTerm){ // Add all to list if (newTerm.candidatesScores.size() != newTerm.candidates.size() || newTerm.candidatesInfo.size() != newTerm.candidates.size() || this.candidatesInfo.size() != newTerm.candidatesInfo.size()) diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/ContextHelper.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/ContextHelper.java deleted file mode 100644 index 028bcf2..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/ContextHelper.java +++ /dev/null @@ -1,25 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.error; - -import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.Derivation; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; - -import java.util.List; - -/** - * GeneralHelper takes an utterance and derivation in order to provide some general info - * and provide useful information about input utterance - * - * @author emlozin - */ -public class ContextHelper extends GeneralHelper { - private List keywords; - private String intent; - private String sentiment; - - public ErrorInfo generate(Derivation dev, ContextValue.Exchange context){ - ErrorInfo errorInfo = new ErrorInfo(); - - return errorInfo; - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/EntityRetriever.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/EntityRetriever.java index 6234d6f..047bad5 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/EntityRetriever.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/error/EntityRetriever.java @@ -1,14 +1,16 @@ package edu.stanford.nlp.sempre.roboy.error; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; import edu.stanford.nlp.sempre.roboy.utils.SparqlUtils; +import java.io.PrintWriter; import java.util.*; import edu.stanford.nlp.sempre.roboy.utils.XMLReader; import com.google.gson.Gson; +import fig.basic.IOUtils; import fig.basic.LogInfo; /** @@ -27,6 +29,8 @@ public class EntityRetriever extends KnowledgeRetriever { public static List keywords = new ArrayList(); /**< List of keywords to extract from XML*/ + public PrintWriter out; + /** * Constructor */ @@ -34,6 +38,8 @@ public class EntityRetriever extends KnowledgeRetriever { try { endpointUrl = ConfigManager.DB_SEARCH; keywords = Arrays.asList(ConfigManager.DB_KEYWORDS); + out = IOUtils.openOutAppendHard("./data/error_test/dbLexicon.txt"); + } catch (Exception e) { throw new RuntimeException(e); @@ -45,9 +51,9 @@ public class EntityRetriever extends KnowledgeRetriever { * * @param underTerm information about the candidates for underspecified term */ - public UnspecInfo analyze(UnspecInfo underTerm) { + public UnderspecifiedInfo analyze(UnderspecifiedInfo underTerm) { String entity = underTerm.term; - UnspecInfo result = new UnspecInfo(entity, underTerm.type); + UnderspecifiedInfo result = new UnderspecifiedInfo(entity, underTerm.type); String url = endpointUrl.concat(entity); url = url.replace(" ","_"); SparqlUtils.ServerResponse response = sparqlUtil.makeRequest(url); @@ -61,9 +67,10 @@ public class EntityRetriever extends KnowledgeRetriever { c.put("Label",label.toLowerCase()); result.candidates.add(c.get("URI")); result.candidatesInfo.add(this.gson.toJson(c)); - if (ConfigManager.DEBUG > 3){ + if (ConfigManager.DEBUG > 3) { LogInfo.logs("Entity candidate: %s", c.toString()); } + out.println(c.toString()); } return result; } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/GeneralHelper.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/GeneralHelper.java deleted file mode 100644 index 9241cfb..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/GeneralHelper.java +++ /dev/null @@ -1,16 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.error; - -import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.Derivation; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; - -/** - * GeneralHelper takes an utterance and derivation in order to provide some general info - * and provide useful information about input utterance - * - * @author emlozin - */ -public abstract class GeneralHelper { - - public abstract ErrorInfo generate(Derivation dev, ContextValue.Exchange context); -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/KnowledgeRetriever.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/KnowledgeRetriever.java index 9d6c892..169e7f3 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/KnowledgeRetriever.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/error/KnowledgeRetriever.java @@ -1,6 +1,6 @@ package edu.stanford.nlp.sempre.roboy.error; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; /** * KnowledgeRetriever takes an underspecified term and applies various error-retrieval @@ -15,5 +15,5 @@ public abstract class KnowledgeRetriever { * * @param underTerm information about the candidates for underspecified term */ - public abstract UnspecInfo analyze(UnspecInfo underTerm); + public abstract UnderspecifiedInfo analyze(UnderspecifiedInfo underTerm); } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/LabelRetriever.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/LabelRetriever.java index a4231f9..e22f706 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/LabelRetriever.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/error/LabelRetriever.java @@ -1,13 +1,15 @@ package edu.stanford.nlp.sempre.roboy.error; import com.google.gson.Gson; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; import edu.stanford.nlp.sempre.roboy.utils.SparqlUtils; import edu.stanford.nlp.sempre.roboy.utils.XMLReader; +import fig.basic.IOUtils; import fig.basic.LogInfo; import org.apache.commons.lang.WordUtils; +import java.io.PrintWriter; import java.util.*; /** @@ -24,12 +26,14 @@ public class LabelRetriever extends KnowledgeRetriever { public static String endpointUrl = new String(); /**< Endpoint URL */ + public PrintWriter out; /** * Constructor */ public LabelRetriever(){ try { endpointUrl = ConfigManager.DB_SPARQL; + out = IOUtils.openOutAppendHard("./data/error_test/lbLexicon.txt"); } catch (Exception e) { throw new RuntimeException(e); @@ -41,9 +45,9 @@ public class LabelRetriever extends KnowledgeRetriever { * * @param underTerm information about the candidates for underspecified term */ - public UnspecInfo analyze(UnspecInfo underTerm) { + public UnderspecifiedInfo analyze(UnderspecifiedInfo underTerm) { String entity = underTerm.term; - UnspecInfo result = new UnspecInfo(entity, underTerm.type); + UnderspecifiedInfo result = new UnderspecifiedInfo(entity, underTerm.type); // Extract the results from XML now. Set uri = sparqlUtil.returnURI(entity, endpointUrl, false); Set uri_cap = sparqlUtil.returnURI( WordUtils.capitalize(entity), endpointUrl, false); @@ -69,6 +73,7 @@ public class LabelRetriever extends KnowledgeRetriever { if (ConfigManager.DEBUG > 3){ LogInfo.logs("Label candidate: %s", single.toString()); } + out.println(single.toString()); } } } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/MCGRetriever.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/MCGRetriever.java index eb4a68f..b28c3f7 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/MCGRetriever.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/error/MCGRetriever.java @@ -1,17 +1,17 @@ package edu.stanford.nlp.sempre.roboy.error; -import edu.stanford.nlp.sempre.Derivation; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; import edu.stanford.nlp.sempre.roboy.utils.SparqlUtils; +import java.io.PrintWriter; import java.util.*; import java.lang.reflect.Type; import com.google.gson.Gson; import com.google.gson.reflect.TypeToken; import edu.stanford.nlp.sempre.roboy.utils.XMLReader; +import fig.basic.IOUtils; import fig.basic.LogInfo; /** @@ -30,6 +30,7 @@ public class MCGRetriever extends KnowledgeRetriever { public static String dbpediaUrl = new String(); /**< Endpoint URL for DBpedia*/ + public PrintWriter out; /** * Constructor */ @@ -37,6 +38,7 @@ public class MCGRetriever extends KnowledgeRetriever { try { endpointUrl = ConfigManager.MCG_SEARCH; dbpediaUrl = ConfigManager.DB_SPARQL; + out = IOUtils.openOutAppendHard("./data/error_test/mcgLexicon.txt"); } catch (Exception e) { throw new RuntimeException(e); @@ -48,9 +50,9 @@ public class MCGRetriever extends KnowledgeRetriever { * * @param underTerm information about the candidates for underspecified term */ - public UnspecInfo analyze(UnspecInfo underTerm) { + public UnderspecifiedInfo analyze(UnderspecifiedInfo underTerm) { String entity = underTerm.term; - UnspecInfo result = new UnspecInfo(entity, underTerm.type); + UnderspecifiedInfo result = new UnderspecifiedInfo(entity, underTerm.type); String url = (endpointUrl.concat(entity.replace(" ","+"))).concat("&topK=10"); SparqlUtils.ServerResponse response = sparqlUtil.makeRequest(url); Type t = new TypeToken>(){}.getType(); @@ -71,6 +73,7 @@ public class MCGRetriever extends KnowledgeRetriever { if (ConfigManager.DEBUG > 3){ LogInfo.logs("MCG candidate: %s", single.toString()); } + out.println(single.toString()); } } } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/error/Word2VecRetriever.java b/src/main/java/edu/stanford/nlp/sempre/roboy/error/Word2VecRetriever.java index 22d39f2..7fea29d 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/error/Word2VecRetriever.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/error/Word2VecRetriever.java @@ -1,13 +1,15 @@ package edu.stanford.nlp.sempre.roboy.error; import edu.stanford.nlp.sempre.SimpleLexicon; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; import edu.stanford.nlp.sempre.roboy.lexicons.word2vec.Word2vec; +import java.io.PrintWriter; import java.util.*; import com.google.gson.Gson; +import fig.basic.IOUtils; import fig.basic.LogInfo; /** @@ -20,11 +22,13 @@ public class Word2VecRetriever extends KnowledgeRetriever { private Word2vec vec; /**< Word2Vec model link*/ + public PrintWriter out; /** * Constructor */ public Word2VecRetriever(Word2vec vec){ this.vec = vec; + out = IOUtils.openOutAppendHard("./data/error_test/w2vLexicon.txt"); } /** @@ -32,9 +36,9 @@ public class Word2VecRetriever extends KnowledgeRetriever { * * @param underTerm information about the candidates for underspecified term */ - public UnspecInfo analyze(UnspecInfo underTerm) { + public UnderspecifiedInfo analyze(UnderspecifiedInfo underTerm) { String entity = underTerm.term; - UnspecInfo result = new UnspecInfo(entity, underTerm.type); + UnderspecifiedInfo result = new UnderspecifiedInfo(entity, underTerm.type); List known_words= new ArrayList(SimpleLexicon.getSingleton().lookup_type(entity)); List candidate = this.vec.getBest(entity,known_words); for (String c: candidate){ @@ -48,6 +52,8 @@ public class Word2VecRetriever extends KnowledgeRetriever { result.candidatesInfo.add(this.gson.toJson(record)); if (ConfigManager.DEBUG > 3) LogInfo.logs("Word2Vec: %s",record.toString()); + + out.println(record.toString()); } } return result; diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ContextScore.java b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ContextScore.java index 49bc4bd..1effe44 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ContextScore.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ContextScore.java @@ -2,12 +2,10 @@ package edu.stanford.nlp.sempre.roboy.score; import com.google.gson.Gson; import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; import edu.stanford.nlp.sempre.roboy.lexicons.word2vec.Word2vec; import fig.basic.LogInfo; -import sun.rmi.runtime.Log; import java.util.*; @@ -41,11 +39,11 @@ public class ContextScore extends ScoringFunction { /** * Scoring function. - * Takes UnspecInfo as well as ContextValue objects and calculates score of each + * Takes UnderspecifiedInfo as well as ContextValue objects and calculates score of each * candidate for unknown terms. */ - public UnspecInfo score(UnspecInfo info, ContextValue context){ - UnspecInfo result = new UnspecInfo(info.term, info.type); + public UnderspecifiedInfo score(UnderspecifiedInfo info, ContextValue context){ + UnderspecifiedInfo result = new UnderspecifiedInfo(info.term, info.type); result.candidates = info.candidates; result.candidatesInfo = info.candidatesInfo; // Check for all candidates for checked unknown term @@ -78,7 +76,7 @@ public class ContextScore extends ScoringFunction { if (Double.isNaN(score)) score = 0.0; if (ConfigManager.DEBUG > 4) - LogInfo.logs("Context: %s -> %f", candidate.get("URI"), score*this.weight); + LogInfo.logs("Context: %s -> %f", candidate.get("URI"), score); result.candidatesScores.add(score*this.weight); } return result; diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ProbabilityScore.java b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ProbabilityScore.java index 2407c23..a791af7 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ProbabilityScore.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ProbabilityScore.java @@ -2,7 +2,7 @@ package edu.stanford.nlp.sempre.roboy.score; import com.google.gson.Gson; import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; import edu.stanford.nlp.sempre.roboy.lexicons.word2vec.Word2vec; import fig.basic.LogInfo; @@ -35,11 +35,11 @@ public class ProbabilityScore extends ScoringFunction { /** * Scoring function. - * Takes ErrorInfo as well as ContextValue objects and calculates score of each + * Takes UnderspecifiedInfo as well as ContextValue objects and calculates score of each * candidate for unknown terms. */ - public UnspecInfo score(UnspecInfo info, ContextValue context){ - UnspecInfo result = new UnspecInfo(info.term, info.type); + public UnderspecifiedInfo score(UnderspecifiedInfo info, ContextValue context){ + UnderspecifiedInfo result = new UnderspecifiedInfo(info.term, info.type); result.candidates = info.candidates; result.candidatesInfo = info.candidatesInfo; // Check for all candidates for checked unknown term diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ScoringFunction.java b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ScoringFunction.java index 1ddc2cc..523c18d 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/score/ScoringFunction.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/score/ScoringFunction.java @@ -1,12 +1,7 @@ package edu.stanford.nlp.sempre.roboy.score; import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; - -import java.util.List; -import java.util.Map; -import java.util.HashMap; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; /** * ScoringFunction takes a list of candidates for unknown terms and scores it to @@ -15,12 +10,10 @@ import java.util.HashMap; * @author emlozin */ public abstract class ScoringFunction { - private double weight; /**< Weight of the score in general score*/ - /** * Scoring function. - * Takes UnspecInfo as well as ContextValue objects and calculates score of each + * Takes UnderspecifiedInfo as well as ContextValue objects and calculates score of each * candidate for unknown terms. */ - public abstract UnspecInfo score(UnspecInfo info, ContextValue context); + public abstract UnderspecifiedInfo score(UnderspecifiedInfo info, ContextValue context); } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/score/SimilarityScore.java b/src/main/java/edu/stanford/nlp/sempre/roboy/score/SimilarityScore.java index bb20e92..958c23d 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/score/SimilarityScore.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/score/SimilarityScore.java @@ -2,7 +2,7 @@ package edu.stanford.nlp.sempre.roboy.score; import com.google.gson.Gson; import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; import edu.stanford.nlp.sempre.roboy.lexicons.word2vec.Word2vec; import fig.basic.LogInfo; @@ -37,11 +37,11 @@ public class SimilarityScore extends ScoringFunction { /** * Scoring function. - * Takes ErrorInfo as well as ContextValue objects and calculates score of each + * Takes UnderspecifiedInfo as well as ContextValue objects and calculates score of each * candidate for unknown terms. */ - public UnspecInfo score(UnspecInfo info, ContextValue context){ - UnspecInfo result = new UnspecInfo(info.term, info.type); + public UnderspecifiedInfo score(UnderspecifiedInfo info, ContextValue context){ + UnderspecifiedInfo result = new UnderspecifiedInfo(info.term, info.type); result.candidates = info.candidates; result.candidatesInfo = info.candidatesInfo; // Check for all candidates for checked unknown term diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/score/Word2VecScore.java b/src/main/java/edu/stanford/nlp/sempre/roboy/score/Word2VecScore.java index e184cb5..5a405fd 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/score/Word2VecScore.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/score/Word2VecScore.java @@ -2,9 +2,8 @@ package edu.stanford.nlp.sempre.roboy.score; import com.google.gson.Gson; import edu.stanford.nlp.sempre.ContextValue; -import edu.stanford.nlp.sempre.roboy.UnspecInfo; +import edu.stanford.nlp.sempre.roboy.UnderspecifiedInfo; import edu.stanford.nlp.sempre.roboy.config.ConfigManager; -import edu.stanford.nlp.sempre.roboy.ErrorInfo; import edu.stanford.nlp.sempre.roboy.lexicons.word2vec.Word2vec; import fig.basic.LogInfo; @@ -37,11 +36,11 @@ public class Word2VecScore extends ScoringFunction { /** * Scoring function. - * Takes ErrorInfo as well as ContextValue objects and calculates score of each + * Takes UnderspecifiedInfo as well as ContextValue objects and calculates score of each * candidate for unknown terms. */ - public UnspecInfo score(UnspecInfo info, ContextValue context){ - UnspecInfo result = new UnspecInfo(info.term, info.type); + public UnderspecifiedInfo score(UnderspecifiedInfo info, ContextValue context){ + UnderspecifiedInfo result = new UnderspecifiedInfo(info.term, info.type); result.candidates = info.candidates; result.candidatesInfo = info.candidatesInfo; // Check for all candidates for checked unknown term @@ -70,36 +69,4 @@ public class Word2VecScore extends ScoringFunction { } return result; } - /** - * Scoring function. - * Takes ErrorInfo as well as ContextValue objects and calculates score of each - * candidate for unknown terms. - */ - public ErrorInfo score(ErrorInfo errorInfo, ContextValue context){ - ErrorInfo result = new ErrorInfo(); - result.setScored(new HashMap<>()); - result.setCandidates(errorInfo.getCandidates()); - result.setFollowUps(errorInfo.getFollowUps()); - // Check for all unknown terms - for (String key: result.getCandidates().keySet()){ - Map key_scores = new HashMap<>(); - List candidates = result.getCandidates().get(key); - // Check for all candidates for checked unknown term - for (String candidate: candidates){ - Map c = new HashMap<>(); - c = gson.fromJson(candidate, c.getClass()); - // Check similarity - double score = this.vec.getSimilarity(key, c.get("Label")); - if (Double.isNaN(score)) - score = 0.0; - - if (ConfigManager.DEBUG > 5) - LogInfo.logs("Word2Vec: %s , %s -> %s", key, c.get("Label"), c.get("Refcount")); - key_scores.put(candidate,score*this.weight); - } - result.getScored().put(key,key_scores); - } - return result; - } - } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/CollectionUtils.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/CollectionUtils.java deleted file mode 100644 index 44654ca..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/CollectionUtils.java +++ /dev/null @@ -1,25 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import java.util.HashMap; -import java.util.Map; - -public final class CollectionUtils { - private CollectionUtils() { } - - public static Map arraysToMap(K[] keys, V[] values) { - if (keys.length != values.length) - throw new RuntimeException("Lenght of keys: " + keys.length + ", length of values: " + values.length); - Map res = new HashMap<>(); - for (int i = 0; i < keys.length; ++i) { - res.put(keys[i], values[i]); - } - return res; - } - - public static Map doubleContainerToDoubleMap(Map map) { - Map res = new HashMap<>(); - for (K key : map.keySet()) - res.put(key, map.get(key).value()); - return res; - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/DoubleContainer.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/DoubleContainer.java deleted file mode 100644 index caa470a..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/DoubleContainer.java +++ /dev/null @@ -1,34 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import com.fasterxml.jackson.annotation.JsonCreator; -import com.fasterxml.jackson.annotation.JsonProperty; -import fig.basic.Fmt; - -public class DoubleContainer implements Comparable { - - @JsonProperty private double value; - - @JsonCreator - public DoubleContainer(@JsonProperty("count") double count) { this.value = count; } - - public void inc() { value++; } - - public void dec() { value--; } - - public void inc(double n) { value += n; } - - public void dec(double n) { value -= n; } - - public void set(double n) { value = n; } - - public double value() { return value; } - - public String toString() { return "" + Fmt.D(value); } - - @Override - public int compareTo(DoubleContainer o) { - if (value < o.value) return -1; - if (value > o.value) return 1; - return 0; - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FbFormatConverter.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FbFormatConverter.java deleted file mode 100644 index a4c8e0d..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FbFormatConverter.java +++ /dev/null @@ -1,82 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -public final class FbFormatConverter { - private FbFormatConverter() { } - - public static final String FULL_FB_PREFIX = "http://rdf.freebase.com/ns/"; - public static final String SHORT_FB_PREFIX = "fb:"; - - public static String fromDotToSlash(String dotString) { - if (dotString.startsWith("http")) { - return dotString.substring(dotString.lastIndexOf('/')).replace('.', '/'); - } else { - if (dotString.startsWith("/")) - return dotString; - return "/" + dotString.substring(dotString.indexOf(':') + 1).replace('.', '/'); - } - } - - public static String toShortPrefix(String str) { - return str.replace(FULL_FB_PREFIX, SHORT_FB_PREFIX); - } - - public static String fromNoPrefixMidToDot(String mid) { - - if (mid.startsWith("fb:m") || mid.startsWith("/m/")) - throw new RuntimeException("This mid has a prefix: " + mid); - return SHORT_FB_PREFIX + "m." + mid; - - } - - /** converts from slash notation to dot notation */ - public static String fromSlashToDot(String slashString, boolean strict) { - - if (!(slashString.charAt(0) == '/')) { - if (strict) { - throw new IllegalArgumentException("Not a legal slash string: " + slashString); - } else - return slashString; - } - - return SHORT_FB_PREFIX + slashString.substring(1).replace('/', '.'); - } - - /** - * convert from [/award/award_winning_work/awards_won, - * /award/award_honor/award_winner] to (lambda x - * (fb:award.award_winning_work.awards_won (fb:award.award_honor.award_winner - * (var x)))) - */ - public static String fromCvtBinaryToLispTree(String str) { - - boolean reversed = false; - if (str.startsWith("!")) { - reversed = true; - str = str.substring(1); - } - // strip brackets - str = str.substring(1, str.length() - 1); - String[] tokens = str.split(","); - if (tokens.length == 1) { - return reversed ? "!" + fromSlashToDot(tokens[0].trim(), false) : fromSlashToDot(tokens[0].trim(), false); - } else { - String property1 = fromSlashToDot(tokens[0].trim(), false); - String property2 = fromSlashToDot(tokens[1].trim(), false); - return propertiesToCompositeLispTree(property1, property2, reversed); - } - } - - public static String propertiesToCompositeLispTree(String property1, - String property2, boolean reversed) { - - StringBuilder sb = new StringBuilder(); - if (reversed) { - sb.append("(lambda x (!" + property2 + " (!" + property1 + " (var x))))"); - } else { - sb.append("(lambda x (" + property1 + " (" + property2 + " (var x))))"); - } - return sb.toString(); - } - - -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FreebaseUtils.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FreebaseUtils.java deleted file mode 100644 index 3a7cce3..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/FreebaseUtils.java +++ /dev/null @@ -1,180 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import com.google.common.collect.BiMap; -import com.google.common.collect.HashBiMap; -import edu.stanford.nlp.io.IOUtils; -import fig.basic.LogInfo; - -import java.io.BufferedReader; -import java.io.IOException; -import java.util.HashMap; -import java.util.Map; -import java.util.regex.Pattern; - - -/** - * Utils for handling freebase data dump files - * - * @author jonathanberant - */ -public final class FreebaseUtils { - private FreebaseUtils() { } - - public static final Pattern DELIMITER_PATTERN = Pattern.compile("\t"); - public static final String NAME_PROPERTY = "/type/object/name"; - public static final String ALIAS_PROPERTY = "/common/topic/alias"; - public static final String TYPE_PROPERTY = "/type/object/type"; - public static final String PROFESSION_PROPERTY = "/people/person/profession"; - public static final String MID_PREFIX = "/m/"; - public static final String COMMON_DOMAIN_PREFIX = "/common/"; - public static final String USER_DOMAIN_PREFIX = "/user/"; - public static final String BASE_DOMAIN_PREFIX = "/base/"; - public static final String FREEBASE_DOMAIN_PREFIX = "/freebase/"; - public static final String DATA_DOMAIN_PREFIX = "/dataworld/"; - public static final String TYPE_DOMAIN_PREFIX = "/type/"; - // indices in data dump file - public static final int MID_INDEX = 0; - public static final int PROPERTY_INDEX = 1; - public static final int LANGUAGE_INDEX = 2; - public static final int VALUE_INDEX = 2; - public static final int DATE_INDEX = 3; - public static final int NAME_INDEX = 3; - - /** Checks if a string is a valid MID */ - public static boolean isMid(String str) { - return str.startsWith("/m/"); - } - - public static boolean isValidPropertyLine(String line) { - - String[] tokens = DELIMITER_PATTERN.split(line); - - return tokens.length == 3 && - isMid(tokens[MID_INDEX]) && - isMid(tokens[VALUE_INDEX]) && - !isMid(tokens[PROPERTY_INDEX]) && - isValidTypePrefix(tokens[PROPERTY_INDEX]); - } - - public static boolean isValidPropertyLineWithDate(String line) { - - String[] tokens = DELIMITER_PATTERN.split(line); - - boolean regularProperty = tokens.length == 3 && - isMid(tokens[MID_INDEX]) && - !isMid(tokens[PROPERTY_INDEX]) && - isValidTypePrefix(tokens[PROPERTY_INDEX]); - - boolean dateProperty = - tokens.length == 4 && - isMid(tokens[MID_INDEX]) && - isValidTypePrefix(tokens[PROPERTY_INDEX]) && - tokens[2].equals("") && - isDate(tokens[3]); - - return regularProperty || dateProperty; - } - - public static boolean isDate(String dateCandidate) { - - boolean res = true; - if (dateCandidate.startsWith("-")) { - dateCandidate = dateCandidate.substring(1); - } - int i = 0; - for (; i < Math.min(4, dateCandidate.length()); ++i) { - if (!Character.isDigit(dateCandidate.charAt(i))) { - res = false; - break; - } - } - if (i != 4) - res = false; - if (dateCandidate.length() > 4 && dateCandidate.charAt(4) != '-') - res = false; - return res; - } - - public static String extractDate(String dateCandidate) { - - boolean neg = false; - if (dateCandidate.startsWith("-")) { - neg = true; - dateCandidate = dateCandidate.substring(1); - } - return neg ? "-" + dateCandidate.substring(0, 4) : dateCandidate.substring(0, 4); - } - - public static boolean isValidTypePrefix(String type) { - if (type.equals("/type/datetime")) - return true; - return !(type.startsWith(BASE_DOMAIN_PREFIX) || type.startsWith(MID_PREFIX) || type.startsWith(COMMON_DOMAIN_PREFIX) || - type.startsWith(USER_DOMAIN_PREFIX) || - type.startsWith(DATA_DOMAIN_PREFIX) || - type.startsWith(FREEBASE_DOMAIN_PREFIX) || - type.startsWith(TYPE_DOMAIN_PREFIX) || - type.startsWith("/guid/")); - } - - public static String getNoPrefixMid(String line) { - return DELIMITER_PATTERN.split(line)[MID_INDEX].substring(MID_PREFIX.length()); - } - - public static String getProperty(String line) { - return DELIMITER_PATTERN.split(line)[PROPERTY_INDEX]; - } - - public static String getValue(String line) { - return DELIMITER_PATTERN.split(line)[VALUE_INDEX]; - } - - public static String getDateValue(String line) { - return DELIMITER_PATTERN.split(line)[DATE_INDEX]; - } - - public static String getName(String line) { - return DELIMITER_PATTERN.split(line)[NAME_INDEX]; - } - - public static boolean isArg1Equal2Mid(String mid, String tupleTokens) { - return DELIMITER_PATTERN.split(tupleTokens)[MID_INDEX].equals(mid); - } - - public static Map loadMid2NameMap(String filename) throws IOException { - - LogInfo.log("Loading mid to name file..."); - - Map res = new HashMap(); - BufferedReader reader = IOUtils.getBufferedFileReader(filename); - String line; - while ((line = reader.readLine()) != null) { - String[] tokens = line.split("\t"); - res.put(tokens[0], tokens[1]); - } - LogInfo.log("Loaded " + res.keySet().size() + " MIDs"); - return res; - } - - public static BiMap loadProperties(String propertyFileName) throws IOException { - - BiMap res = HashBiMap.create(); - BufferedReader reader = IOUtils.getBufferedFileReader(propertyFileName); - - String line; - short id = 1; - while ((line = reader.readLine()) != null) { - res.put(id++, line); - } - return res; - } - - public static boolean isUnary(String property) { - property = FbFormatConverter.fromDotToSlash(property); - return (property.equals(TYPE_PROPERTY) || property.equals(PROFESSION_PROPERTY)); - } - - public static boolean isNameProperty(String property) { - property = FbFormatConverter.fromDotToSlash(property); - return (property.equals(ALIAS_PROPERTY) || property.equals(NAME_PROPERTY)); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/LinkedExtractionFileUtils.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/LinkedExtractionFileUtils.java deleted file mode 100644 index 5e1d88b..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/LinkedExtractionFileUtils.java +++ /dev/null @@ -1,110 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import edu.stanford.nlp.io.IOUtils; -import fig.basic.LogInfo; - -import java.io.BufferedReader; -import java.io.IOException; -import java.util.*; -import java.util.regex.Pattern; - -public final class LinkedExtractionFileUtils { - - private String extractionFile; - private static final int ARG1_INDEX = 0; - private static final int PREDICATE_INDEX = 1; - private static final int ARG2_INDEX = 2; - private static final int MID_INDEX = 3; - public static final Pattern DELIMITER_PATTERN = Pattern.compile("\t"); - public static final String TIME_ARG = "TIME:"; - - - public LinkedExtractionFileUtils(String extractionFileName) { - this.extractionFile = extractionFileName; - } - - public Map> getIdToExtractionsMap() throws IOException { - - LogInfo.log("Uploading id-to-extraction-set map"); - Map> res = new HashMap>(); - - BufferedReader reader = IOUtils.getBufferedFileReader(extractionFile); - String line; - while ((line = reader.readLine()) != null) { - - String[] tokens = DELIMITER_PATTERN.split(line); - - Set extractionSet = res.get(tokens[MID_INDEX]); - if (extractionSet == null) { - extractionSet = new HashSet(); - res.put(tokens[MID_INDEX], extractionSet); - } - extractionSet.add(tokens[ARG1_INDEX] + DELIMITER_PATTERN + tokens[PREDICATE_INDEX] + DELIMITER_PATTERN + DELIMITER_PATTERN + tokens[ARG2_INDEX]); - } - reader.close(); - LogInfo.log("Done uploading id-to-extraction-set map"); - return res; - } - - public Set getLinkedIdSet() throws IOException { - - LogInfo.log("Uploading linked MIDs set"); - Set res = new HashSet(); - - BufferedReader reader = IOUtils.getBufferedFileReader(extractionFile); - String line; - while ((line = reader.readLine()) != null) { - - String[] tokens = DELIMITER_PATTERN.split(line); - res.add(tokens[MID_INDEX]); - } - reader.close(); - LogInfo.log("Done uploading linked IDs set"); - return res; - } - - public Map>> getIdToArg2ToPredicateListMap() throws IOException { - - LogInfo.begin_track("Uploading id-to-arg-predicate-list-map"); - // BinaryNormalizer normalizer = new BinaryNormalizer(); - - Map>> res = new HashMap>>(); - - for (String line : IOUtils.readLines(extractionFile)) { - - String[] tokens = DELIMITER_PATTERN.split(line); - - String id = tokens[MID_INDEX]; - String arg2 = tokens[ARG2_INDEX]; - String predicate = tokens[PREDICATE_INDEX]; - // String predicate = normalizer.normalize(tokens[PREDICATE_INDEX]); - - Map> arg2ToPredicateList = res.get(id); - if (arg2ToPredicateList == null) { - arg2ToPredicateList = new HashMap>(); - arg2ToPredicateList.put(arg2, new LinkedList()); - res.put(id, arg2ToPredicateList); - } - - List predicateList = arg2ToPredicateList.get(arg2); - if (predicateList == null) { - predicateList = new LinkedList(); - arg2ToPredicateList.put(arg2, predicateList); - } - predicateList.add(predicate); - } - LogInfo.end_track(); - return res; - } - - public static boolean isTimeArg(String str) { - return str.startsWith(TIME_ARG); - } - - public static String extractTime(String str) { - if (!isTimeArg(str)) { - throw new RuntimeException("Not a time arg: " + str); - } - return str.substring(TIME_ARG.length()); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/MathUtils.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/MathUtils.java deleted file mode 100644 index 355b41f..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/MathUtils.java +++ /dev/null @@ -1,202 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import edu.stanford.nlp.stats.ClassicCounter; -import edu.stanford.nlp.stats.Counter; -import edu.stanford.nlp.stats.Counters; - -import java.util.HashSet; -import java.util.List; -import java.util.Map; -import java.util.Set; - -public final class MathUtils { - private MathUtils() { } - - public static double jaccard(double intersection, double size1, double size2, double smoothing) { - return intersection / (size1 + size2 + smoothing - intersection); - } - - public static double generalizedJensenShannonDivergence(Counter c1, Counter c2) { - - double sum = 0.0; - Set nonZeroEntries = new HashSet(); - for (E entry : nonZeroEntries) { - double u = c1.getCount(entry); - double v = c2.getCount(entry); - sum += coordinateJsDivergence(u, v); - } - return sum / 2.0; - } - - private static double coordinateJsDivergence(double u, double v) { - return u * Math.log(2 * u / (u + v)) + v * Math.log(2 * v / (u + v)); - } - - public static double coordinateJsDiverDeriv(double x, double y) { - if (x == 0.0) - return 0.0; - if (y == 0.0) - return Math.log(2) / 2.0; - - double xPlusY = x + y; - double res = -1 * Math.log(xPlusY) - (y / xPlusY) + x * (1 / x - 1 / xPlusY) + Math.log(x) + Math.log(2); - return res / 2.0; - } - - public static Counter prefixCounterKeys(Counter counter, String prefix) { - Counter res = new ClassicCounter(); - for (String key : counter.keySet()) { - res.setCount(prefix + "_" + key, counter.getCount(key)); - } - return res; - } - - public static double vectorCosine(List array1, List array2) { - - if (array1.size() != array2.size()) - throw new RuntimeException("Cannot compute cosine of arrays of differnt sizes: " + array1.size() + " " + array2.size()); - double dotProd = 0.0; - double lsq1 = 0.0; - double lsq2 = 0.0; - - for (int i = 0; i < array1.size(); ++i) { - dotProd += array1.get(i) * array2.get(i); - lsq1 += array1.get(i) * array1.get(i); - lsq2 += array2.get(i) * array2.get(i); - } - return dotProd / (Math.sqrt(lsq1) * Math.sqrt(lsq2)); - } - - public static double euclidDistance(List array1, List array2) { - - if (array1.size() != array2.size()) - throw new RuntimeException("Cannot compute cosine of arrays of differnt sizes: " + array1.size() + " " + array2.size()); - - double sqDistance = 0.0; - for (int i = 0; i < array1.size(); ++i) { - sqDistance += Math.pow(array1.get(i) - array2.get(i), 2); - } - return Math.sqrt(sqDistance); - } - - public static double sumDoubleMap(Map map) { - double sum = 0.0; - for (DoubleContainer d : map.values()) - sum += d.value(); - return sum; - } - - public static void normalizeDoubleMap(Map map) { - double sum = 0.0; - for (DoubleContainer d : map.values()) - sum += d.value(); - for (T key : map.keySet()) { - double normalizedValue = map.get(key).value() / sum; - map.get(key).set(normalizedValue); - } - } - - /** - * Computes jaccard between sets of objects - * @param x - * @param y - * @return - */ - public static double jaccard(Set x, Set y) { - - Set intersection = new HashSet(x); - intersection.retainAll(y); - Set union = new HashSet(x); - union.addAll(y); - - double res = union.size() == 0 ? 1.0 : (double) intersection.size() / union.size(); - return res; - } - - /** - * Computes jaccard between sets of objects - * @param x - * @param y - * @return - */ - public static double jaccard(List x, List y) { - - Set intersection = new HashSet(x); - intersection.retainAll(y); - Set union = new HashSet(x); - union.addAll(y); - - double res = union.size() == 0 ? 1.0 : (double) intersection.size() / union.size(); - return res; - } - - /** - * how many of the tokens in x are covered by y - * @param x - * @param y - * @return - */ - public static double coverage(List x, List y) { - Set yTokens = new HashSet(y); - int covered = 0; - for (T xItem : x) { - if (yTokens.contains(xItem)) - covered++; - } - return (double) covered / x.size(); - } - - /** - * Geometric average of unigram bigram and trigram precision - * @param test - * @param ref - * @return - */ - - public static double bleu(List test, List ref) { - - Set refUnigrams = new HashSet(); - Set refBigrams = new HashSet(); - Set refTrigrams = new HashSet(); - for (int i = 0; i < ref.size(); ++i) { - refUnigrams.add(ref.get(i)); - if (i < ref.size() - 1) - refBigrams.add(ref.get(i) + " " + ref.get(i + 1)); - if (i < ref.size() - 2) - refTrigrams.add(ref.get(i) + " " + ref.get(i + 1) + " " + ref.get(i + 2)); - } - int unigramCov = 0; - int bigramCov = 0; - int trigramCov = 0; - for (int i = 0; i < test.size(); ++i) { - if (refUnigrams.contains(test.get(i))) - unigramCov++; - if (i < test.size() - 1) { - String bigram = test.get(i) + " " + test.get(i + 1); - if (refBigrams.contains(bigram)) - bigramCov++; - } - if (i < test.size() - 2) { - String trigram = test.get(i) + " " + test.get(i + 1) + " " + test.get(i + 2); - if (refTrigrams.contains(trigram)) - trigramCov++; - } - } - double unigramPrec = (double) unigramCov / test.size(); - double bigramPrec = (double) bigramCov / (test.size() - 1); - double trigramPrec = (double) trigramCov / (test.size() - 2); - double exponent = (double) 1 / 3; - return Math.pow(unigramPrec * bigramPrec * trigramPrec, exponent); - } - - public static double tokensCosine(List x, List y) { - - Counter xCounter = new ClassicCounter(); - for (String str : x) - xCounter.incrementCount(str); - Counter yCounter = new ClassicCounter(); - for (String str : y) - yCounter.incrementCount(str); - return Counters.cosine(xCounter, yCounter); - } -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SemparseLogTools.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SemparseLogTools.java deleted file mode 100644 index e0f9589..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SemparseLogTools.java +++ /dev/null @@ -1,261 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import edu.stanford.nlp.io.IOUtils; -import fig.basic.LispTree; -import fig.basic.LogInfo; -import fig.basic.MapUtils; - -import java.io.IOException; -import java.io.PrintWriter; -import java.util.*; - -public final class SemparseLogTools { - private SemparseLogTools() { } - - public static void main(String[] args) throws IOException { - - LogInfo.begin_track_printAll("analyze"); - if (args[0].equals("compare")) { - compareLogs(args[1], args[2], args[3]); - } else if (args[0].equals("diff")) { - printDiff(args[1], args[2]); - } else if (args[0].equals("fb_descriptions")) { - getFbDescInTrueDerivations(args[1], args[2]); - } - if (args[0].equals("result_list")) { - printResultList(args[1], args[2]); - } - LogInfo.end_track(); - } - - private static void printResultList(String log, String field) { - - boolean start = false; - int numOfIterations = -1; - String prob = null; - String correct = null; - String oracle = null; - - - for (String line : IOUtils.readLines(log)) { - if (line.contains("Iteration")) { - int slashIndex = line.indexOf('/'); - int openCurlyIndex = line.indexOf('{'); - numOfIterations = Integer.parseInt(line.substring(slashIndex + 1, openCurlyIndex - 1)); - } - if (line.contains("Processing iter=" + numOfIterations + ".dev")) { - start = true; - } - if (start) { - if (line.contains("Pred@0000")) { - prob = line.substring(line.indexOf("prob=") + 5, line.indexOf(", comp=")); - } - if (line.contains("Example:")) - prob = "0"; - if (line.contains("Current: correct=")) { - int correctIndex = line.indexOf("correct="); - int oracleIndex = line.indexOf("oracle="); - int partCorrectIndex = line.indexOf("partCorrect="); - int parsedIndex = line.indexOf("parsed="); - int numTokensIndex = line.indexOf("numTokens="); - - - if (field.equals("oracle")) - System.out.println(line.substring(oracleIndex + 7, partCorrectIndex - 1)); - if (field.equals("correct")) - System.out.println(line.substring(correctIndex + 8, oracleIndex - 1) + "\t" + prob); - if (field.equals("parsed")) - System.out.println(line.substring(parsedIndex + 7, numTokensIndex - 1)); - } - } - } - } - - private static void getFbDescInTrueDerivations(String log, String out) throws IOException { - - boolean start = false; - int numOfIterations = -1; - Map> exampleToDescriptions = new HashMap>(); - - - String currExample = null; - - for (String line : IOUtils.readLines(log)) { - if (line.contains("Iteration")) { - int slashIndex = line.indexOf('/'); - int openCurlyIndex = line.indexOf('{'); - numOfIterations = Integer.parseInt(line.substring(slashIndex + 1, openCurlyIndex - 1)); - } - if (line.contains("Processing iter=" + numOfIterations + ".")) { - start = true; - } - if (start) { - if (line.contains("Example:")) { - int end = line.indexOf("{") - 1; - currExample = line.substring(line.indexOf("Example:") + 9, end); - exampleToDescriptions.put(currExample, new HashSet()); - } - if (line.contains("True@")) { - - String formula = line.substring(line.indexOf("(formula"), line.indexOf("(value") - 1); - LispTree t = LispTree.proto.parseFromString(formula); - Set descriptions = new HashSet(); - extractDescriptionsFromTree(t, descriptions); - for (String description : descriptions) - MapUtils.addToSet(exampleToDescriptions, currExample, description); - } - } - } - PrintWriter writer = IOUtils.getPrintWriter(out); - for (String example : exampleToDescriptions.keySet()) { - if (exampleToDescriptions.get(example).size() > 0) - writer.println(example + "\t" + exampleToDescriptions.get(example)); - } - writer.close(); - } - - private static void extractDescriptionsFromTree(LispTree t, Set descriptions) { - - if (t.value != null) { - if (t.value.indexOf('.') != t.value.lastIndexOf('.')) { - descriptions.add(t.value.substring(t.value.lastIndexOf('.') + 1)); - } - } - if (!t.isLeaf()) { - for (LispTree child : t.children) { - extractDescriptionsFromTree(child, descriptions); - } - } - } - - private static void printDiff(String log, String field) throws IOException { - - boolean start = false; - int numOfIterations = -1; - - String example = null; - String targetFormula = null; - String targetValue = null; - String trueDeriv = null; - String predDeriv = null; - - boolean print = false; - - for (String line : IOUtils.readLines(log)) { - if (line.contains("Iteration")) { - int slashIndex = line.indexOf('/'); - int openCurlyIndex = line.indexOf('{'); - numOfIterations = Integer.parseInt(line.substring(slashIndex + 1, openCurlyIndex - 1)); - } - if (line.contains("Processing iter=" + numOfIterations + ".dev")) { - start = true; - } - if (start) { - if (line.contains("Example:")) { - if (print && example != null) { - LogInfo.log(example); - LogInfo.log(targetFormula); - LogInfo.log(targetValue); - LogInfo.log(trueDeriv); - LogInfo.log(predDeriv); - } - example = line; - targetFormula = null; targetValue = null; trueDeriv = null; - predDeriv = null; - } - if (line.contains("targetFormula:")) { - targetFormula = line; - } - if (line.contains("targetValue:")) { - targetValue = line; - } - if (line.contains("True@") && trueDeriv == null) { - trueDeriv = line; - } - if (line.contains("Pred@") && predDeriv == null) { - predDeriv = line; - } - if (line.contains("Current:")) { - if (field.equals("correct")) { - if (line.contains("correct=0") && line.contains("oracle=1")) { - print = true; - } else - print = false; - } - if (field.equals("oracle")) { - if (line.contains("oracle=0") && line.contains("parsed=1")) - print = true; - else - print = false; - } - if (field.equals("parsed")) { - if (line.contains("parsed=0")) - print = true; - else - print = false; - } - } - } - } - } - - public static void compareLogs(String log1, String log2, String field) { - List correctnessList1 = computeCorrectnessList(log1, field); - List correctnessList2 = computeCorrectnessList(log2, field); - - if (correctnessList1.size() != correctnessList2.size()) - throw new RuntimeException("lists are not same size"); - LogInfo.logs("Size of correctness: %s", correctnessList1.size()); - - for (int i = 0; i < correctnessList1.size(); ++i) { - if (!correctnessList1.get(i).equals(correctnessList2.get(i))) { - LogInfo.log("example: " + i + " log1: " + correctnessList1.get(i) + " log2: " + correctnessList2.get(i)); - } - } - } - - private static List computeCorrectnessList(String log1, String field) { - - List res = new LinkedList<>(); - boolean start = false; - int numOfIterations = -1; - for (String line : IOUtils.readLines(log1)) { - if (line.contains("Iteration")) { - int slashIndex = line.indexOf('/'); - int openCurlyIndex = line.indexOf('{'); - numOfIterations = Integer.parseInt(line.substring(slashIndex + 1, openCurlyIndex - 1)); - LogInfo.logs("Number of iterations=%s", numOfIterations); - } - if (line.contains("Processing iter=" + numOfIterations + ".dev")) { - start = true; - } - if (start) { - if (line.contains("Current: parsed=")) { - String[] tokens = line.split("\\s+"); - for (String token : tokens) { - String[] tokenParts = token.split("="); - if (field.equals(tokenParts[0])) - res.add(Double.parseDouble(tokenParts[1])); - } -// LogInfo.logs() -// int correctIndex = line.indexOf(" correct="); -// int oracleIndex = line.indexOf(" oracle="); -// int partCorrectIndex = line.indexOf(" partCorrect="); -// int partOracleIndex= line.indexOf(" partOracle="); -// int afterPartOracleIndex = line.indexOf("\\s+",partOracleIndex); -// LogInfo.logs("part oracle index=%s, after=%s",partCorrectIndex,afterPartOracleIndex); -// if (field.equals("oracle")) -// res.add(Double.parseDouble(line.substring(oracleIndex + 8, partCorrectIndex))); -// if (field.equals("correct")) -// res.add(Double.parseDouble(line.substring(correctIndex + 9, oracleIndex))); -// if (field.equals("partCorrect")) -// res.add(Double.parseDouble(line.substring(partCorrectIndex + 13, partOracleIndex))); -// if (field.equals("partOracle")) -// res.add(Double.parseDouble(line.substring(partOracleIndex + 12, afterPartOracleIndex))); - } - } - } - return res; - } - -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/ShortContainer.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/ShortContainer.java deleted file mode 100644 index 382fc87..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/ShortContainer.java +++ /dev/null @@ -1,28 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import java.io.Serializable; - -public class ShortContainer implements Serializable { - - /** - * - */ - private static final long serialVersionUID = -911790554283478225L; - - private short count; - - public ShortContainer(short count) { this.count = count; } - - public void inc() { count++; } - - public void dec() { count--; } - - public void inc(short n) { count += n; } - - public void dec(short n) { count -= n; } - - public short value() { return count; } - - public String toString() { return new Short(count).toString(); } -} - diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/Tester.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/Tester.java index 20fb238..311c899 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/Tester.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/Tester.java @@ -70,11 +70,12 @@ public class Tester { Tester test = new Tester(5000); try { PrintWriter writer = new PrintWriter("log-webq.txt", "UTF-8"); - JsonReader reader = new JsonReader(new FileReader("./data/rpqa/rpqa-test.json")); + JsonReader reader = new JsonReader(new FileReader("./data/rpqa/Q/rpqa-test-q.json")); Type type = new TypeToken>>() { }.getType(); Gson gson = new Gson(); List> testSet = gson.fromJson(reader, type); + //test.query("(reload resources/roboy-final.grammar)"); long time = System.nanoTime(); for (Map entry : testSet) { String response = test.query(entry.get("utterance")); diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WnExpander.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WnExpander.java deleted file mode 100644 index 7681bf9..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WnExpander.java +++ /dev/null @@ -1,147 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -import fig.basic.LogInfo; -import fig.basic.Option; - -import edu.stanford.nlp.sempre.roboy.utils.WordNet.*; - -import java.io.File; -import java.io.IOException; -import java.util.*; - - -public class WnExpander { - - public static class Options { - @Option(gloss = "Verbose") public int verbose = 0; - @Option(gloss = "Path to Wordnet file") - public String wnFile = "lib/wordnet-3.0-prolog"; - @Option(gloss = "Relations to expand with wordnet") - public Set wnRelations = new HashSet<>(); - } - - public static Options opts = new Options(); - - private WordNet wn; - private Set edgeTypes = new HashSet<>(); - - /** - * Initializing wordnet and the relations to expand with - * - * @throws IOException - */ - public WnExpander() throws IOException { - wn = WordNet.loadPrologWordNet(new File(opts.wnFile)); - for (String wnRelation : opts.wnRelations) { - switch (wnRelation) { - case "derives": - edgeTypes.add(EdgeType.DERIVES); - break; - case "derived_from": - edgeTypes.add(EdgeType.DERIVED_FROM); - break; - case "hyponym": - edgeTypes.add(EdgeType.HYPONYM); - break; - default: - throw new RuntimeException("Invalid relation: " + wnRelation); - } - } - } - - public Set expandPhrase(String phrase) { - - // find synsetse for phrase - Set phraseSynsets = phraseToSynsets(phrase); - // expand synsets - for (EdgeType edgeType : edgeTypes) - phraseSynsets.addAll(expandSynsets(phraseSynsets, edgeType)); - // find phrases for synsets - Set expansions = synsetsToPhrases(phraseSynsets); - if (opts.verbose > 0) { - for (String expansion : expansions) - LogInfo.logs("WordNetExpansionLexicon: expanding %s to %s", phrase, expansion); - } - return expansions; - } - - public Set getSynonyms(String phrase) { - Set phraseSynsets = phraseToSynsets(phrase); - Set expansions = synsetsToPhrases(phraseSynsets); - expansions.remove(phrase); - return expansions; - } - - public Set getDerivations(String phrase) { - Set phraseSynsets = phraseToSynsets(phrase); - Set derivations = new HashSet<>(); - derivations.addAll(expandSynsets(phraseSynsets, EdgeType.DERIVED_FROM)); - derivations.addAll(expandSynsets(phraseSynsets, EdgeType.DERIVES)); - Set expansions = synsetsToPhrases(derivations); - expansions.remove(phrase); - return expansions; - } - - public Set getHypernyms(String phrase) { - Set phraseSynsets = phraseToSynsets(phrase); - Set hypernyms = new HashSet<>(); - hypernyms.addAll(expandSynsets(phraseSynsets, EdgeType.HYPONYM)); - Set expansions = synsetsToPhrases(hypernyms); - expansions.remove(phrase); - return expansions; - } - - private Set synsetsToPhrases(Set phraseSynsets) { - - Set res = new HashSet<>(); - for (WordNetID phraseSynset : phraseSynsets) { - res.addAll(synsetToPhrases(phraseSynset)); - } - return res; - } - - private Collection synsetToPhrases(WordNetID phraseSynset) { - Set res = new HashSet<>(); - List wordTags = phraseSynset.get(EdgeType.SYNSET_HAS_WORDTAG); - for (WordNetID wordTag : wordTags) { - List words = wordTag.get(EdgeType.WORDTAG_TO_WORD); - for (WordNetID word : words) { - res.add(((WordID) word).word); - } - } - return res; - } - - /** Given a phrase find all synsets containing this phrase */ - private Set phraseToSynsets(String phrase) { - - List wordTags = new LinkedList<>(); - WordID word = wn.getWordID(phrase); - if (word != null) - wordTags.addAll(word.get(EdgeType.WORD_TO_WORDTAG)); - Set synsets = new HashSet<>(); - for (WordNetID wordTag : wordTags) { - synsets.addAll(wordTag.get(EdgeType.WORDTAG_IN_SYNSET)); - } - return synsets; - } - - private List expandSynset(WordNetID synset, EdgeType edgeType) { - return synset.get(edgeType); - } - - private Set expandSynsets(Collection synsets, EdgeType edgeType) { - Set res = new HashSet<>(); - for (WordNetID synset : synsets) - res.addAll(expandSynset(synset, edgeType)); - return res; - } - - public static void main(String[] args) throws IOException { - - WnExpander wnLexicon = new WnExpander(); - wnLexicon.expandPhrase("assassinate"); - System.out.println(); - } - -} diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WordNet.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WordNet.java deleted file mode 100644 index a05bcf1..0000000 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/WordNet.java +++ /dev/null @@ -1,982 +0,0 @@ -package edu.stanford.nlp.sempre.roboy.utils; - -/* - * Distributed as part of WordWalk, a Java package for lexical - * semantic relatedness using random graph walks. - * - * Copyright (C) 2008 Daniel Ramage - * - * This library is free software; you can redistribute it and/or - * modify it under the terms of the GNU Lesser General Public - * License as published by the Free Software Foundation; either - * version 2.1 of the License, or (at your option) any later version. - - * This library is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU - * Lesser General Public License for more details. - - * You should have received a copy of the GNU Lesser General Public - * License along with this library; if not, write to the Free Software - * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110 USA - */ - -import java.io.File; -import java.lang.ref.WeakReference; -import java.util.*; - -import edu.stanford.nlp.io.RuntimeIOException; -import edu.stanford.nlp.objectbank.ObjectBank; - - -/** - *

Fast, lightweight, constant time library for accessing WordNet. Use - * one of the public load methods to create an instance by reading the WordNet - * data files from disk. WordNet is represented with a set of WordID, - * WordTagID, and SynsetID objects, each of which is unique within the WordNet - * instance (so you can use == for equality checks). There are many types - * of edges between these nodes (mostly SynsetID to SynsetID), where - * each edge type is defined in the EdgeType enum.

- * - *

This class would be Serializable except that the default Java - * serialization mechanism can't handle the depth of recursion between - * the inner WordTagID objects -- hence an instance can be created only - * by loading the requisite file from disk.

- * - * @author dramage - * @author Chris Manning made minimal changes to make it JavaNLP land not Ramage land - */ -public final class WordNet { - - /** Global counter for assigning unique index to each loaded id. */ - private final ArrayList all = new ArrayList(500000); - - /** Global immutable view of all */ - private final List immutableAll = Collections.unmodifiableList(all); - - /** Set of loaded edges types */ - private final Set loadedEdges = new HashSet(); - - /** Indexes mapping canonical strings to their typed versions */ - private final Map synsets = new HashMap(); - private final Map words = new HashMap(); - private final Map wordtags = new HashMap(); - - /** File resource backing this WordNet instance */ - private final File path; - - /** - * Private constructor - use one of the static constructor methods. - * - * @param path Path on disk to the underlying wordnet resource. - */ - private WordNet(File path) { - this.path = path; - } - - /** - * All types of edges in wordnet. Some are transposes of each other, - * as specified by parallel objects in edgeTransposePairs, - * edgeTransposeTarget. - */ - public enum EdgeType { - // structural relationships between words, wordtags, and synsets. etc - WORD_TO_WORDTAG, WORDTAG_TO_WORD, // word to all wordtag in play - WORDTAG_IN_SYNSET, SYNSET_HAS_WORDTAG, // wordtag to all synsets - SYNSET_WORDTAGS_OVERLAP, // two synsets share wordtag - - // invertible synset relations - HYPONYM, HYPERNYM, // from hyp; nouns and verbs - INSTANCE_OF, HAS_INSTANCE, // from ins - ENTAILS, ENTAILED_BY, // from ent; verbs only - SIM_HEAD, SIM_SATELLITE, // from sim; adjectives only - MM_HOLONYM, MM_MERONYM, // from mm; member meronyms - MS_HOLONYM, MS_MERONYM, // from ms; substance meronym - MP_HOLONYM, MP_MERONYM, // from mp; part meronym - CAUSED_BY, CAUSES, // from cs; for verbs - DERIVES, DERIVED_FROM, // from der; for noun to adj - - // self reflexive synset relations - ATTRIBUTE, // from at - - // invertible word relations - PARTICIPLE_OF, HAS_PARTICIPLE, // from ppl - PERTAINS_TO, PERTANYM_OF, // from per - SEE_ALSO_TO, SEE_ALSO_FROM, // from sa - - // self reflexive word relations - ANTONYM, // from ant - SIMILAR_VERBS, // from vgp - - // weird relations (words or synsets) from cls relation - TERM_HAS_TOPIC, TOPIC_FROM_TERM, - TERM_HAS_USAGE, USAGE_FROM_TERM, - TERM_IN_REGION, REGION_HAS_TERM, - } - - /** Set of relations that are transposes of eachother. */ - private static final EdgeType[][] transpose = { - {EdgeType.HYPONYM, EdgeType.HYPERNYM}, - {EdgeType.INSTANCE_OF, EdgeType.HAS_INSTANCE}, - {EdgeType.ENTAILS, EdgeType.ENTAILED_BY}, - {EdgeType.SIM_HEAD, EdgeType.SIM_SATELLITE}, - {EdgeType.MM_HOLONYM, EdgeType.MM_MERONYM}, - {EdgeType.MS_HOLONYM, EdgeType.MS_MERONYM}, - {EdgeType.MP_HOLONYM, EdgeType.MP_MERONYM}, - {EdgeType.CAUSED_BY, EdgeType.CAUSES}, - {EdgeType.DERIVES, EdgeType.DERIVED_FROM}, - {EdgeType.PARTICIPLE_OF, EdgeType.HAS_PARTICIPLE}, - {EdgeType.PERTAINS_TO, EdgeType.PERTANYM_OF}, - {EdgeType.SEE_ALSO_TO, EdgeType.SEE_ALSO_FROM}, - {EdgeType.TERM_HAS_TOPIC, EdgeType.TOPIC_FROM_TERM}, - {EdgeType.TERM_HAS_USAGE, EdgeType.USAGE_FROM_TERM}, - {EdgeType.TERM_IN_REGION, EdgeType.REGION_HAS_TERM} - }; - - /** Set of relations that are self-reflexive, i.e. if a->b then b-> a */ - private static final EdgeType[] reflexive = { - EdgeType.SYNSET_WORDTAGS_OVERLAP, - EdgeType.ATTRIBUTE, - EdgeType.SIMILAR_VERBS, - EdgeType.ANTONYM, - }; - - /** - * WordNet-defined part of speech tags. Folds adjective satellite - * in with adjective. - */ - public enum PartOfSpeech { - NOUN('n'), VERB('v'), ADJECTIVE('a'), ADVERB('r'); - - /** WordNet character for encoding the part of speech. */ - public final char ssType; - - private PartOfSpeech(char ssType) { - this.ssType = ssType; - } - - public static PartOfSpeech fromWordNetSSType(char ssType) { - for (PartOfSpeech pos : PartOfSpeech.values()) { - if (pos.ssType == ssType) { - return pos; - } - } - if (ssType == 's') { - return ADJECTIVE; - } - throw new IllegalArgumentException("Unexpected ss_type: " + ssType); - } - } - - /** Base of all wordnet ids. Comparison is based on index number. */ - public abstract class WordNetID implements Comparable { - /** Globally unique index of this WordNetID */ - private int index; - - /** Outgoing links from this node */ - private Map> links - = new EnumMap>(EdgeType.class); - - /** Private no-arg constructor prevents new subclasses */ - private WordNetID() { - index = all.size(); - all.add(this); - } - - /** - * Returns the set of nodes linked from this note by the given - * edge type. - */ - public List get(EdgeType type) { - List set = links.get(type); - if (set == null) { set = Collections.emptyList(); } - return Collections.unmodifiableList(set); - } - - /** Returns the index of this WordNetID in the enclosing WordNet instance */ - public int index() { - return index; - } - - /** Adds a link with the given edge type to the object */ - protected void add(EdgeType type, WordNetID target) { - ArrayList list = links.get(type); - if (list == null) { - list = new ArrayList(); - links.put(type, list); - } - if (!list.contains(target)) { - list.add(target); - } - } - - /** Compacts and sorts each edge list. */ - protected void compact() { - for (ArrayList edge : links.values()) { - Collections.sort(edge); - edge.trimToSize(); - } - } - - /** Ordered by index in enclosing WordNet */ - public int compareTo(WordNetID other) { - return this.index < other.index ? -1 : - (this.index > other.index ? 1 : 0); - } - - /** Returns the enclosing WordNet instance */ - public WordNet getEnclosingWordNet() { - return WordNet.this; - } - - /** Ordered by index in enclosing WordNet */ - @Override - public boolean equals(Object other) { - if (other == this) return true; - if (!(other instanceof WordNetID)) return false; - WordNetID w = (WordNetID) other; - return this.index == w.index; - } - - @Override - public int hashCode() { - return index; - } - - } - - /** - * Represents a word, e.g. "dog". - * - * Instances of this class are unique for a given {@link WordNet}, - * so direct object equality and hashcode are the default behavior. - * - * @author dramage - */ - public final class WordID extends WordNetID { - - /** WordTags for this Word */ - private final EnumMap mWordTags - = new EnumMap(PartOfSpeech.class); - - /** The string of our word (with spaces converted to underscore) */ - public final String word; - - /** Immutable view of all WordTagIDs this WordID is part of. */ - public final Map wordTags - = Collections.unmodifiableMap(mWordTags); - - private WordID(String word) { - this.word = word; - } - - /** - * Gets the WordTagID for this word with the given part of speech - * or null if the part of speech does not apply to this word. - */ - public WordTagID getWordTag(PartOfSpeech tag) { - return mWordTags.get(tag); - } - - /** Adds a reference to the given WordTagID */ - private void addWordTag(WordTagID wordTagId) { - assert !mWordTags.containsKey(wordTagId.tag) - || mWordTags.get(wordTagId.tag) == wordTagId - : "Unexpected duplicate WordTagID"; - - this.mWordTags.put(wordTagId.tag, wordTagId); - } - - @Override - public String toString() { - return word; - } - } - - /** - * Represents a word with part of speech tag, e.g. "dog#n". - * - * Instances of this class are unique for a given {@link WordNet}, - * so direct object equality and hashcode are the default behavior. - * - * @author dramage - */ - public final class WordTagID extends WordNetID { - - /** Mutable view of word senses for this WordTag. */ - private final ArrayList mSynsets - = new ArrayList(1); - - /** The WordID we are an instance of */ - public final WordID word; - - /** Our part of speech tag */ - public PartOfSpeech tag; - - /** Immutable list of all synsets this WordTag takes part in. */ - public final List synsets - = Collections.unmodifiableList(mSynsets); - - public List getSynsets() { - return this.synsets; - } - private WordTagID(WordID word, PartOfSpeech tag) { - this.word = word; - this.tag = tag; - } - - /** - * Gets the n'th synset associated with this word tag. This index - * is 1-based to be consistent with wordnet's numbering scheme; i.e. - * getSynset(0) will throw an IllegalArgumentException. - * */ - public SynsetID getSynset(int num) { - num--; // convert to 0-indexed - if (num < 0) { - throw new IllegalArgumentException("SynsetIDs are 1-based"); - } - return mSynsets.get(num); - } - - /** Adds the given Synset into this WordTag with the given number */ - private void addSynset(SynsetID synsetId, int num) { - num--; // convert to 0-indexed - assert num >= 0 && (mSynsets.size() <= num || - mSynsets.get(num) == null || mSynsets.get(num) == synsetId) - : "Unexpected repeat of word sense " + synsetId + " on " + this - + ": already " + mSynsets.get(num); - - while (mSynsets.size() <= num) { - mSynsets.add(null); - } - mSynsets.set(num, synsetId); - } - - @Override - public String toString() { - return word + "#" + tag.ssType; - } - } - - /** - * Represents a WordNet synset id as an int, e.g. 301380127. - * - * Instances of this class are unique for a given {@link WordNet}, - * so direct object equality and hashcode are the default behavior. - * - * Each SynsetID has potentially many WordTagSenseID's. - * - * @author dramage - */ - public final class SynsetID extends WordNetID { - - /** Modifiable WordTagIDs associated with this SynsetID */ - private final ArrayList mWordTags - = new ArrayList(1); - - /** The synset id number */ - public final int synset; - - /** Number of times this sense was tagged in a corpus or 0 for not seen. */ - public final int count; - - /** The number of this synset in the first WordTagID (for toString) */ - private int numberInFirstWordTagID = 0; - - /** All WordTags that this Synset is a part of */ - public final List wordtags - = Collections.unmodifiableList(mWordTags); - - private SynsetID(int synset, int count) { - this.synset = synset; - this.count = count; - } - - /** Returns the n'th word sense */ - public WordTagID getWordTag(int num) { - num--; // convert to 0-indexed - if (num < 0) { - throw new IllegalArgumentException("WordTagIDs are 1-based"); - } - - return mWordTags.get(num); - } - - /** - * Adds the given WordTagSense into this synset - */ - private void addWordSense(WordTagID wordTagId, int num) { - num--; // convert to 0-indexed - assert num >= 0 && (mWordTags.size() <= num || - mWordTags.get(num) == null || mWordTags.get(num) == wordTagId) - : "Unexpected repeat of word " + wordTagId + " on " + this - + ": already " + mWordTags.get(num); - - while (mWordTags.size() <= num) { - mWordTags.add(null); - } - mWordTags.set(num, wordTagId); - } - - @Override - public String toString() { - return mWordTags.get(0) + "#" + numberInFirstWordTagID; - } - } - - /** Returns a collection of all the WordNetIDs loaded. */ - public Collection getAllWordNetIDs() { - return immutableAll; - } - - /** Returns a collection of all the words loaded. */ - public Collection getAllWords() { - return words.keySet(); - } - /** - * Returns the given WordNetID by it's index. The return value could - * be cast to one of the three possible subclasses: WordID, WordTagID, - * or SynsetID. - */ - public WordNetID getWordNetID(int index) { - return all.get(index); - } - - /** - * Returns the WordNetID referred to by the given string. Delegates - * to one of getSynsetID, getWordTagID, or getWordID depending on the - * format of the string or null if no such ID can be found. - */ - public WordNetID getWordNetID(String string) { - int firstHash = string.indexOf('#'); - if (firstHash < 0) { - WordNetID rv = getWordID(string); - return rv != null ? rv : getSynsetID(string); - } else { - int secondHash = string.lastIndexOf('#'); - if (firstHash == secondHash) { - return getWordTagID(string); - } else { - return getSynsetID(string); - } - } - } - - /** - * Returns the SynsetID instance as described by the given id string - * or null if there is no such id. The string can either be a synset id - * such as "100001740" or a word sense such as "entity#n#1". - */ - public SynsetID getSynsetID(String string) { - // check if specified as "100001740" - SynsetID id = synsets.get(string); - if (id == null) { - // check if specified as "entity#n#1" - int split = string.lastIndexOf('#'); - if (split >= 1) { - int num; - try { - num = Integer.parseInt(string.substring(split + 1)); - } catch (NumberFormatException e) { - return null; - } - WordTagID wordTagId = wordtags.get(string.substring(0, split)); - if (wordTagId != null) { - id = wordTagId.getSynset(num); - } - } - } - return id; - } - - /** - * Returns the WordID instance from a string such as "dog" - * or null if there is no such id. - */ - public WordID getWordID(String string) { - return words.get(string); - } - - /** - * Returns the WordTagID instance from a string such as "dog#n" - * or null if there is no such id. - */ - public WordTagID getWordTagID(String string) { - return wordtags.get(string); - } - - /** - * The total number of loaded nodes in the WordNet instance. - */ - public int size() { - return all.size(); - } - - /** - * Returns the path on disk of the underlying WordNet database. - */ - @Override - public String toString() { - return path.toString(); - } - - /** - * Stitches together the structural edge types, WORD_TOWORDTAG, - * SYNSET_HAS_WORDTAG, etc. - */ - private void createStructuralEdges() { - // create WORD_TO_WORDTAG and WORDTAG_TO_WORD - for (WordID word : words.values()) { - for (WordTagID wordtag : word.wordTags.values()) { - word.add(EdgeType.WORD_TO_WORDTAG, wordtag); - wordtag.add(EdgeType.WORDTAG_TO_WORD, word); - } - } - - // create WORTAG_IN_SYNSET and SYNSET_HAS_WORDTAG - for (WordTagID wordtag : wordtags.values()) { - for (SynsetID synset : wordtag.synsets) { - wordtag.add(EdgeType.WORDTAG_IN_SYNSET, synset); - synset.add(EdgeType.SYNSET_HAS_WORDTAG, wordtag); - } - } - - // create SYNSET_WORDTAGS_OVERLAP - for (WordTagID wordtag : wordtags.values()) { - for (SynsetID synsetA : wordtag.mSynsets) { - if (synsetA == null) { continue; } - for (SynsetID synsetB : wordtag.mSynsets) { - if (synsetB == null || synsetA == synsetB) { continue; } - synsetA.add(EdgeType.SYNSET_WORDTAGS_OVERLAP, synsetB); - } - } - } - - // record that we have created these edges - loadedEdges.addAll(Arrays.asList(new EdgeType[]{ - EdgeType.WORD_TO_WORDTAG, EdgeType.WORDTAG_TO_WORD, - EdgeType.WORDTAG_IN_SYNSET, EdgeType.SYNSET_HAS_WORDTAG, - EdgeType.SYNSET_WORDTAGS_OVERLAP, })); - } - - /** Compacts and finalizes ordering of all data structures */ - private void compact() { - // sort the WordNetID's by type (then by order added) - Collections.sort(all, new Comparator() { - public int compare(WordNetID o1, WordNetID o2) { - if (o1.getClass() == o2.getClass()) { - return o1.compareTo(o2); - } else if (o1.getClass() == SynsetID.class) { - return -1; - } else if (o2.getClass() == SynsetID.class) { - return 1; - } else if (o1.getClass() == WordTagID.class) { - return -1; - } else if (o2.getClass() == WordTagID.class) { - return 1; - } else { - throw new RuntimeException("Unexpected WordNetID type"); - } - } - }); - - // re-number the wordnet id's - for (int i = 0; i < all.size(); i++) { - all.get(i).index = i; - } - - for (WordNetID id : all) { - id.compact(); - } - for (SynsetID id : synsets.values()) { - id.mWordTags.trimToSize(); - } - for (WordTagID id : wordtags.values()) { - id.mSynsets.trimToSize(); - } - all.trimToSize(); - } - - /** Checks the representation invariants */ - private void checkrep() { - for (EdgeType edgetype : EdgeType.values()) { - assertIt(loadedEdges.contains(edgetype), "Failed to load " + edgetype); - } - - for (SynsetID synset : synsets.values()) { - assertIt(all.get(synset.index()) == synset, "Misplaced synset " + synset); - assertIt(synset.getWordTag(1).getSynset(synset.numberInFirstWordTagID) == synset, - "Wrong number in first WordTagID " + synset); - assertIt(!synset.wordtags.contains(null), synset + " contains null WordTagID"); - - for (WordTagID wordtag : synset.wordtags) { - assertIt(wordtag.synsets.contains(synset), "Miswired Synset " + synset); - } - } - - for (WordTagID wordtag : wordtags.values()) { - assertIt(all.get(wordtag.index()) == wordtag, "Misplaced wordtag " + wordtag); - assertIt(!wordtag.synsets.contains(null), wordtag + " contains null SynsetID"); - - for (SynsetID synset : wordtag.synsets) { - assertIt(synset.wordtags.contains(wordtag), "Miswired WordTag " + wordtag); - } - - assertIt(wordtag.word.wordTags.containsValue(wordtag), "Miswired WordTag " + wordtag); - } - - for (WordID word : words.values()) { - assertIt(all.get(word.index()) == word, "Misplaced word " + word); - for (WordTagID wordtag : word.wordTags.values()) { - assertIt(wordtag.word == word, "Miswired WordTag " + word); - } - } - - for (WordNetID id1 : all) { - for (EdgeType[] pair : transpose) { - for (WordNetID id2 : id1.get(pair[0])) { - assertIt(id2.get(pair[1]).contains(id1), - "Missing transpose " + Arrays.asList(transpose) - + " " + id1 + " " + id2); - } - } - } - - for (WordNetID id1 : all) { - for (EdgeType type : reflexive) { - for (WordNetID id2 : id1.get(type)) { - assertIt(id2.get(type).contains(id1), - "Missing reflextive " + type + " " + id1 + " " + id2); - } - } - } - } - - /** Assertion method used by checkRep */ - private static void assertIt(boolean condition, String message) { - if (!condition) { - throw new AssertionError(message); - } - } - - - // - // WordNet loader - // - - /** Weak collection of WordNet instances based on file name */ - private static final Collection> instances - = new LinkedList>(); - - /** - * Loads an instance of WordNet from the given WordNet database -- - * currently supports only Prolog DB format. - */ - public static WordNet load(File path) { - System.err.println("WordNet.load: " + path); - - // see if already loaded - for (Iterator> it = instances.iterator(); it.hasNext();) { - - WordNet wordnet = it.next().get(); - - if (wordnet == null) { - it.remove(); - } else if (wordnet.path.equals(path)) { - return wordnet; - } - } - - // not already loaded, load now - try { - WordNet wordnet = loadPrologWordNet(path); - instances.add(new WeakReference(wordnet)); - return wordnet; - } catch (RuntimeIOException e) { - throw new IllegalArgumentException( - "Provided path not a valid WordNet PrologDB directory", e); - } - } - - /** - * Returns an instance of WordNet based on the contents of the WordNet - * databases as stored in the given path prolog WordNet 3.0 format. - */ - public static WordNet loadPrologWordNet(File path) { - WordNet wordnet = new WordNet(path); - - /** Global stashing point for unassigned word senses depending on wn POS tag */ - Map deferredPositionSynsets = new HashMap(); - - // - // read the synsets file - // - { - for (String line : ObjectBank.getLineIterator(new File(path, "wn_s.pl"))) { - if (line.length() == 0) continue; - - // fields from the line - String[] fields = line.substring(2, line.length() - 2).split(","); - final int wordTagNumberInSynset = Integer.parseInt(fields[1]); - final int synsetNumberInWordTag = Integer.parseInt( - fields.length > 4 ? fields[4] : "0"); - final int senseCount = Integer.parseInt( - fields.length > 5 ? fields[5] : "0"); - final String word = new String(fields[2].substring( - 1, fields[2].length() - 1).replaceAll("\\s+", "_")) - .toLowerCase(); - final PartOfSpeech tag = PartOfSpeech.fromWordNetSSType( - fields[3].charAt(0)); - final String wordTag = word + "#" + tag.ssType; - final String synset = fields[0]; - - // add WordID - WordID wordId = wordnet.words.get(word); - if (wordId == null) { - wordId = wordnet.new WordID(word); - wordnet.words.put(word, wordId); - } - - // add WordTagID - WordTagID wordTagId = wordnet.wordtags.get(wordTag); - if (wordTagId == null) { - wordTagId = wordnet.new WordTagID(wordId, tag); - wordnet.wordtags.put(wordTag, wordTagId); - } - - // add SynsetID - SynsetID synsetId = wordnet.synsets.get(synset); - if (synsetId == null) { - synsetId = wordnet.new SynsetID(Integer.parseInt(synset), - senseCount); - wordnet.synsets.put(synset, synsetId); - } - - // link WordID to WordTagID - wordId.addWordTag(wordTagId); - - // link WordTagID to SynsetID - if (synsetNumberInWordTag == 0) { - if (deferredPositionSynsets.containsKey(wordTagId)) { - throw new RuntimeException("Error: don't know what " + - "to do when more than one synset doesn't come" + - " with a valid sense number"); - } else { - deferredPositionSynsets.put(wordTagId, synsetId); - } - } else { - wordTagId.addSynset(synsetId, synsetNumberInWordTag); - } - synsetId.addWordSense(wordTagId, wordTagNumberInSynset); - } - - // add in deferredPositionSynsets - for (Map.Entry entry : deferredPositionSynsets.entrySet()) { - boolean placed = false; - for (int i = 0; i < entry.getKey().mSynsets.size(); i++) { - if (entry.getKey().mSynsets.get(i) == null) { - entry.getKey().mSynsets.set(i, entry.getValue()); - placed = true; - } - } - if (!placed) { - throw new AssertionError("Unable to place deferred synset"); - } - } - - // tell each SynsetID its position in its first WordTagID - for (SynsetID synset : wordnet.synsets.values()) { - int position = synset.wordtags.get(0).mSynsets.indexOf(synset) + 1; - assert position >= 1 : "Unexpected: couldn't find the synset"; - synset.numberInFirstWordTagID = position; - } - - // add all structural edges - wordnet.createStructuralEdges(); - } - - - // - // read all synset relations defined over SynsetID pairs - // - - // invert-ready synset relations - wordnet.loadSynsetRelation(path, "hyp", EdgeType.HYPONYM); - wordnet.loadSynsetRelation(path, "ins", EdgeType.INSTANCE_OF); - wordnet.loadSynsetRelation(path, "ent", EdgeType.ENTAILS); - wordnet.loadSynsetRelation(path, "sim", EdgeType.SIM_HEAD); - wordnet.loadSynsetRelation(path, "mm", EdgeType.MM_HOLONYM); - wordnet.loadSynsetRelation(path, "ms", EdgeType.MS_HOLONYM); - wordnet.loadSynsetRelation(path, "mp", EdgeType.MP_HOLONYM); - wordnet.loadSynsetRelation(path, "cs", EdgeType.CAUSED_BY); - - // self-reflexive synset relations - wordnet.loadSynsetRelation(path, "at", EdgeType.ATTRIBUTE); - - // invert-ready word relations - wordnet.loadWordRelation(path, "ppl", EdgeType.PARTICIPLE_OF); - wordnet.loadWordRelation(path, "per", EdgeType.PERTAINS_TO); - wordnet.loadWordRelation(path, "sa", EdgeType.SEE_ALSO_TO); - - // self-reflexive word relations - wordnet.loadWordRelation(path, "der", EdgeType.DERIVES); - wordnet.loadWordRelation(path, "vgp", EdgeType.SIMILAR_VERBS); - wordnet.loadWordRelation(path, "ant", EdgeType.ANTONYM); - - // weird class relations - wordnet.loadCLSRelations(path); - - // do transposes - for (EdgeType[] pair : transpose) { - wordnet.addTranspose(pair[0], pair[1]); - } - - // compact data structure and check rep invariants - - wordnet.compact(); - wordnet.checkrep(); - - return wordnet; - } - - /** - * Loads the given relation from the prolog file, storing the result in - * the given EdgeType. - */ - private void loadSynsetRelation(File path, String relation, EdgeType type) { - if (loadedEdges.contains(type)) { - throw new IllegalArgumentException("Unexpected error: trying to load " + type + " twice"); - } - loadedEdges.add(type); - - for (String line : ObjectBank.getLineIterator(new File(path, "wn_" + relation + ".pl"))) { - if (line.length() == 0) continue; - String[] fields = line.substring(relation.length() + 1, line.length() - 2).split(","); - - SynsetID id1 = getSynsetID(fields[0]); - SynsetID id2 = getSynsetID(fields[1]); - - id1.add(type, id2); - } - } - - /** - * Loads the given relation from the prolog file, storing the result in - * the given EdgeType. - */ - private void loadWordRelation(File path, String relation, EdgeType type) { - if (loadedEdges.contains(type)) { - throw new IllegalArgumentException("Unexpected error: trying to load " + type + " twice"); - } - loadedEdges.add(type); - - for (String line : ObjectBank.getLineIterator(new File(path, "wn_" + relation + ".pl"))) { - if (line.length() == 0) continue; - String[] fields = line.substring(relation.length() + 1, line.length() - 2).split(","); - - final SynsetID sid1 = getSynsetID(fields[0]); - final SynsetID sid2 = getSynsetID(fields[2]); - - if (sid1 == sid2) { - System.err.println("WordNet.loadWordRelation(" + relation + "): skipping self-loop on " + sid1); - } else { - sid1.add(type, sid2); - } - } - } - - /** - * Loads the given relation from the prolog file, storing the result in - * the given EdgeType. - */ - private void loadCLSRelations(File path) { - final String relation = "cls"; - - if (loadedEdges.contains(EdgeType.TERM_HAS_TOPIC) || - loadedEdges.contains(EdgeType.TERM_HAS_USAGE) || - loadedEdges.contains(EdgeType.TERM_IN_REGION)) { - - throw new IllegalArgumentException("Unexpected error while loading " + relation); - } - - loadedEdges.add(EdgeType.TERM_HAS_TOPIC); - loadedEdges.add(EdgeType.TERM_HAS_USAGE); - loadedEdges.add(EdgeType.TERM_IN_REGION); - - for (String line : ObjectBank.getLineIterator(new File(path, "wn_" + relation + ".pl"))) { - if (line.length() == 0) continue; - String[] fields = line.substring(relation.length() + 1, line.length() - 2).split(","); - - if (fields.length != 5 || fields[4].length() != 1) { - throw new IllegalArgumentException("Badly formed file for " + relation); - } - - SynsetID sid1 = getSynsetID(fields[0]); - SynsetID sid2 = getSynsetID(fields[2]); - - int num1 = Integer.parseInt(fields[1]); - int num2 = Integer.parseInt(fields[3]); - assert !((num1 == 0) ^ (num2 == 0)); - - WordNetID id1 = num1 == 0 ? sid1 : sid1.getWordTag(num1); - WordNetID id2 = num2 == 0 ? sid2 : sid2.getWordTag(num2); - - switch (fields[4].charAt(0)) { - case 't': - id1.add(EdgeType.TERM_HAS_TOPIC, id2); - break; - - case 'u': - id1.add(EdgeType.TERM_HAS_USAGE, id2); - break; - - case 'r': - id1.add(EdgeType.TERM_IN_REGION, id2); - break; - - default: - throw new IllegalArgumentException("Unexpected relation type " + fields[4]); - } - } - } - - /** Adds a new edge type t2 as the transpose of t1 */ - private void addTranspose(EdgeType t1, EdgeType t2) { - if (!loadedEdges.contains(t1)) { - throw new IllegalArgumentException("Cannot transpose: doesn't contain " + t1); - } else if (loadedEdges.contains(t2)) { - throw new IllegalArgumentException("Cannot transpose: already contains " + t2); - } - loadedEdges.add(t2); - - /** Add reverse links for all types */ - for (WordNetID ab : all) { - for (WordNetID ba : ab.get(t1)) { - ba.add(t2, ab); - } - } - } - - - // - // Sample main method for testing - // - public static void main(String[] args) { - WordNet wordnet = load(new File(args[0])); - - SynsetID id1 = wordnet.getSynsetID("run#v#1"); - - for (EdgeType edgetype : EdgeType.values()) { - for (WordNetID id2 : id1.get(edgetype)) { - System.out.println(edgetype + " " + id2); - } - } - - System.out.println(wordnet.getAllWordNetIDs().size()); - - for (SynsetID synset : wordnet.synsets.values()) { - System.out.printf("%06d %s\n", synset.synset, synset.toString()); - } - } - -} From 9c92a4c90a8b3d18c105de3aaf1eec200f5e3496 Mon Sep 17 00:00:00 2001 From: Emilka Date: Tue, 17 Apr 2018 23:14:52 +0200 Subject: [PATCH 2/2] Quick fix --- README.md | 8 +-- config.properties | 2 +- pom.xml | 70 ------------------- resources/roboy-final.grammar | 2 +- .../sempre/interactive/InteractiveServer.java | 2 +- .../nlp/sempre/roboy/ErrorRetrieval.java | 4 +- .../nlp/sempre/roboy/LexiconGenerator.java | 2 +- .../nlp/sempre/roboy/data/score_weights.json | 4 +- .../nlp/sempre/roboy/utils/SparqlUtils.java | 4 +- 9 files changed, 14 insertions(+), 84 deletions(-) diff --git a/README.md b/README.md index fac70fc..cbaf3e3 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ mvn clean mvn install ``` -# Word2Vec Model +## Word2Vec Model Small model for parser has to be manually downloaded from [this link](https://drive.google.com/uc?export=download&confirm&id=1LVOKk7KnDIJphkHRZDa5fDm7ffIcS_Yz) and put it in data/word2vec. Other models: [google_model](https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz) @@ -42,13 +42,13 @@ To run SEMPRE with Roboy grammar in interactive mode (from command line): mvn exec:java@interactive -Dexec.mainClass=edu.stanford.nlp.sempre.Main ``` -To run SEMPRE with Roboy grammar in socket mode (port 5000): +To run SEMPRE with Roboy grammar in socket mode (port 5000) WITHOUT error retrieval: ``` mvn exec:java@demo -Dexec.mainClass=edu.stanford.nlp.sempre.Main ``` -To run SEMPRE with Roboy grammar in socket mode (port 5000) with training: +To run SEMPRE with Roboy grammar in socket mode (port 5000) WITH error retrieval: ``` -mvn exec:java@test -Dexec.mainClass=edu.stanford.nlp.sempre.Main +mvn exec:java@demo-error -Dexec.mainClass=edu.stanford.nlp.sempre.Main ``` To run SEMPRE with Roboy grammar in web server mode: diff --git a/config.properties b/config.properties index 8118e00..2fa178b 100644 --- a/config.properties +++ b/config.properties @@ -38,4 +38,4 @@ LEXICON_THRES: 0.2 FOLLOW_THRES: 0.5 WORD2VEC_GOOGLE: false DEBUG: 5 -CONTEXT_DEPTH: 3 +CONTEXT_DEPTH: 2 diff --git a/pom.xml b/pom.xml index da6434c..5bb25d2 100644 --- a/pom.xml +++ b/pom.xml @@ -145,76 +145,6 @@ - - test - - java - - - - -FeatureExtractor.featureDomains - rule - - dependencyParse - -Dataset.inPaths - train:data/rpqa/1/train.examples - -Params.initWeightsRandomly - true - -Learner.maxTrainIters - 10 - -Builder.executor - roboy.SparqlExecutor - -Builder.simple_executor - JavaExecutor - -SparqlExecutor.endpointUrl - http://dbpedia.org/sparql - -Grammar.inPaths - resources/roboy-demo.grammar - -SimpleLexicon.inPaths - resources/lexicons/roboy-demo.lexicon - -languageAnalyzer - corenlp.CoreNLPAnalyzer - -Master.logPath - data/error_test/1.log - -Main.socket - true - - - - - webquestions - - java - - - - -FeatureExtractor.featureDomains - rule - - dependencyParse - -Dataset.inPaths - train:data/webq-train.examples - -Params.initWeightsRandomly - true - -Learner.maxTrainIters - 10 - -Builder.executor - roboy.SparqlExecutor - -Builder.simple_executor - JavaExecutor - -SparqlExecutor.endpointUrl - http://dbpedia.org/sparql - -Grammar.inPaths - resources/roboy-webq.grammar - -SimpleLexicon.inPaths - resources/lexicons/roboy-demo.lexicon - -languageAnalyzer - corenlp.CoreNLPAnalyzer - -Main.socket - true - - - demo-error diff --git a/resources/roboy-final.grammar b/resources/roboy-final.grammar index a68edb3..6526861 100644 --- a/resources/roboy-final.grammar +++ b/resources/roboy-final.grammar @@ -81,7 +81,7 @@ ) #(rule $ROOT ($PHRASE) (OpenTypeFn type)) #(rule $ROOT ($PHRASE) (OpenTypeFn relation)) -(rule $ROOT ($PHRASE) (OpenTypeFn entity)) +#(rule $ROOT ($PHRASE) (OpenTypeFn entity)) #(rule $ROOT ($PHRASE) (SimpleLexiconFn (type "NamedEntity"))) ## Forming Subject diff --git a/src/main/java/edu/stanford/nlp/sempre/interactive/InteractiveServer.java b/src/main/java/edu/stanford/nlp/sempre/interactive/InteractiveServer.java index 266c76f..0ce077c 100644 --- a/src/main/java/edu/stanford/nlp/sempre/interactive/InteractiveServer.java +++ b/src/main/java/edu/stanford/nlp/sempre/interactive/InteractiveServer.java @@ -296,7 +296,7 @@ public class InteractiveServer { if (session.isLogging()) { logLine(opts.responseLogPath, Json.writeValueAsStringHard(jsonMap)); if (!Strings.isNullOrEmpty(opts.fullResponseLogPath)) { - jsonMap.put("candidates", responseMap.get("candidates")); + jsonMap.put("candidates", responseMap.get("candidates").toString()); logLine(opts.fullResponseLogPath, Json.writeValueAsStringHard(jsonMap)); } } else { diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java b/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java index d46906d..8f1b15c 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/ErrorRetrieval.java @@ -397,7 +397,7 @@ public class ErrorRetrieval { if (ConfigManager.DEBUG > 1) { for (UnderspecifiedInfo termInfo : missingTerms) { for (int i = 0; i < termInfo.candidatesInfo.size(); i++) { - LogInfo.logs("Final candidates: %s", termInfo.candidatesInfo.get(i).toString()); + LogInfo.logs("Final candidates: %s -> %s", termInfo.term, termInfo.candidatesInfo.get(i).toString()); } } } @@ -408,7 +408,7 @@ public class ErrorRetrieval { if (ConfigManager.DEBUG > 1) { for (UnderspecifiedInfo termInfo : missingTerms) { for (int i = 0; i < termInfo.candidatesScores.size(); i++) { - LogInfo.logs("Final scores: %s %f", termInfo.candidates.get(i), termInfo.candidatesScores.get(i)); + LogInfo.logs("Final scores: %s %f", termInfo.candidates.get(i).toString(), termInfo.candidatesScores.get(i)); } } } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java b/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java index 23f25fa..b249bbc 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/LexiconGenerator.java @@ -33,7 +33,7 @@ public class LexiconGenerator { if (ConfigManager.DEBUG > 0) LogInfo.logs("New lexeme added: %s",lexeme); out.println(lexeme); - SimpleLexicon.getSingleton().add(lexeme); +// SimpleLexicon.getSingleton().add(lexeme); } out.close(); } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/data/score_weights.json b/src/main/java/edu/stanford/nlp/sempre/roboy/data/score_weights.json index 83df920..e15287f 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/data/score_weights.json +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/data/score_weights.json @@ -1,6 +1,6 @@ { - "Context": 0.4, - "Word2Vec": 0.3, + "Context": 0.5, + "Word2Vec": 0.2, "Probability" : 0.2, "Similarity" : 0.1 } diff --git a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SparqlUtils.java b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SparqlUtils.java index be68be2..4879c1f 100644 --- a/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SparqlUtils.java +++ b/src/main/java/edu/stanford/nlp/sempre/roboy/utils/SparqlUtils.java @@ -95,8 +95,8 @@ public class SparqlUtils { try { String url = String.format("%s?default-graph-uri=http://dbpedia.org&query=%s&format=xml", endpointUrl, URLEncoder.encode(formQuery(json), "UTF-8")); - //System.out.println("SPARQL query: "+formQuery(json)); -// System.out.println("Query: "+url); + System.out.println("SPARQL query: "+formQuery(json)); + System.out.println("Query: "+url); ServerResponse response = makeRequest(url); List> list = new ArrayList<>();