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21 changes: 21 additions & 0 deletions LICENSE
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MIT License

Copyright (c) 2016 Kai Zhao

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
25 changes: 25 additions & 0 deletions README.md
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# Joint Syntactic and Discourse Parsing

![](label.png)

This repository contains the implementation of the joint syntaco-discourse parser and the syntaco-discourse treebank. For more details, please refer to the paper [Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank](http://aclweb.org/anthology/D/D17/D17-1224.pdf).

### Syntaco-Discourse Treebank

Due to copyright limit, we can not provide the joint treebank in the form that can be directly used to train a parser. Instead, we provide a patch tool kit to generate the Syntaco-Discourse Treebank giving the [RST Discourse Treebank](https://catalog.ldc.upenn.edu/ldc2002t07) and the [Penn Treebank](https://catalog.ldc.upenn.edu/ldc99t42).

Please follow the steps below to generate the parser:

1. Place the RST Discourse Treebank in folder ```dataset/rst```. Put the discourse trees (```wsj_xxxx.out.dis``` files) in the RST Discourse Treebank to ```dataset/rst/train``` and ```dataset/rst/test``` respectively. Here each ```wsj_xxxx.out.dis``` file corresponds to one WSJ article, where ```xxxx``` is the article number.

2. Place the Penn Treebank trees in folder ```dataset/ptb```. These constituency trees are in parentheses format. They are grouped as one treebank file (with name ```wsj_xxxx.cleangold```) for a WSJ article.

3. Generate the training set and testing set for the joint treebank separately:

```
josydipa/aligner.py --rst_path dataset/rst/train --const_path dataset/ptb > train.txt
```
```
josydipa/aligner.py --rst_path dataset/rst/dev --const_path dataset/ptb > dev.txt
```

### Syntaco-Dsicourse Parser

To be finished.

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