mirror of https://github.com/percyliang/sempre
1.4 KiB
1.4 KiB
Files for Building a Semantic Parser Overnight
Generating canonical utterances
To generate all the canonical utterances, run:
./pull-dependencies freebase overnight
ant corenlp freebase overnight
./run @mode=genovernight-wrapper
To generate each individual domain:
./run @mode=genovernight @gen=1 @domain=<domain>
Training
After generating the paraphrases via AMT and setting up the appropriate example files, we train a model.
Run the following to train with all the features:
./run @mode=overnight @domain=<domain>
To run with a subset of the features for ablation studies:
Baseline:
./run @mode=overnight @domain=<domain> -OvernightFeatureComputer.featureDomains match skip-bigram root lf simpleworld
No Lexical features:
./run @mode=overnight @domain=<domain> -OvernightFeatureComputer.featureDomains match ppdb skip-bigram root lf simpleworld
No PPDB features:
./run @mode=overnight @domain=<domain> -OvernightFeatureComputer.featureDomains match skip-bigram root lf alignment lexical root_lexical simpleworld
Full system:
./run @mode=overnight @domain=<domain> -OvernightFeatureComputer.featureDomains match ppdb skip-bigram root alignment lexical root_lexical lf simpleworld
Generating alignment files for a new domain
See the instructions here (work in progress).