miguelballesteros/lstm-parser

Transition-based dependency parser based on stack LSTMs

★ 0Forks 0C++GitHub ↗Compare

README

lstm-parser

Transition based dependency parser with state embeddings computed by LSTM RNNs

Required software

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.

Contributors

redpony

Issues