lstm-parser

Transition based dependency parser with state embeddings computed by LSTM RNNs

Required software

• A C++ compiler supporting the C++11 language standard
• Boost libraries
• Eigen (newer versions strongly recommended)
• CMake

Checking out the project for the first time

The first time you clone the repository, you need to sync the cnn/ submodule.

git submodule init
git submodule update

Build instructions

mkdir build
cd build
cmake .. -DEIGEN3_INCLUDE_DIR=/path/to/eigen
make -j2

Pretrained models

TODO

Citation

If you make use of this software, please cite the following:

@inproceedings{dyer:2015acl,
  author={Chris Dyer and Miguel Ballesteros and Wang Ling and Austin Matthews and Noah A. Smith},
  title={Transition-based Dependeny Parsing with Stack Long Short-Term Memory}
  booktitle={Proc. ACL},
  year=2015,
}

License

This software is released under the terms of the Apache License, Version 2.0.