mirror of https://github.com/percyliang/sempre
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# SEMPRE 2.0 documentation
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This document describes SEMPRE 2.0 in detail. See
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[TUTORIAL.md](TUTORIAL.md) for a more engaging introduction. This document
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[the tutorial](TUTORIAL.md) for a more engaging introduction. This document
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assumes a modest understanding of how SEMPRE works.
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If you find any bugs, please report them or fix them (file a GitHub issue or
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13
README.md
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README.md
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@ -65,14 +65,11 @@ SEMPRE has been used in the following papers:
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## Where do I go next?
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- If you're new to semantic parsing, you can learn more from the [background
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reading section of the
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tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md).
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reading section of the tutorial](TUTORIAL.md).
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- Install SEMPRE using the instructions under **Installation** below.
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- Walk through the
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[tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md)
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- Walk through the [tutorial](TUTORIAL.md)
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to get a hands-on introduction to semantic parsing through SEMPRE.
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- Read the complete
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[documentation](http://github.com/percyliang/sempre/blob/master/DOCUMENTATION.md)
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- Read the complete [documentation](DOCUMENTATION.md)
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to learn about the different components in SEMPRE.
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# Installation
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(execute (call + (number 3) (number 4)))
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To go further, check out the
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[tutorial](http://github.com/percyliang/sempre/blob/master/TUTORIAL.md).
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To go further, check out the [tutorial](TUTORIAL.md) and then the [full
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documentation](DOCUMENTATION.md).
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## Virtuoso graph database
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In this tutorial, we will provide a brief tour of SEMPRE. This tutorial is
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very much about the mechanics of the system, not about the linguistics or
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semantic parsing from a research point of view (for those, see the recommended
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readings at the end of this document). For the full documentation, see
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[DOCUMENTATION.md](https://github.com/percyliang/sempre/blob/master/DOCUMENTATION.md).
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readings at the end of this document). Once you have gone through the tutorial,
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you can read the [full documentation](DOCUMENTATION.md).
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We will construct a semantic parser to understand a toy subset of natural
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language. Concretely, the system we will build will have the following
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We use the graph database engine, Virtuoso, to store these triples and allow
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querying. Follow these instructions if you want to create your own Virtuoso instance.
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First, make sure you have Virtuoso installed (see Installation section of the
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README.md).
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First, make sure you have Virtuoso installed — see the Installation
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section of the [readme](README.md).
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Then start the server:
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