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Enhancing Unsupervised Generative Dependency Parser with Contextual Information

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Enhancing Unsupervised Generative Dependency Parser with Contextual Information

This is implementation of the paper:

Enhancing Unsupervised Generative Dependency Parser with Contextual Information
Wenjuan Han, Yong Jiang, Kewei Tu
ACL 2019

Please concact [email protected] if you have any questions.

Data

WSJ

Reference

@inproceedings{han2019enhancing,
  title={Enhancing unsupervised generative dependency parser with contextual information},
  author={Han, Wenjuan and Jiang, Yong and Tu, Kewei},
  booktitle={Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  pages={5315--5325},
  year={2019}
}

Update

This code is implemented using java and python. sustcsonglin has reimplemented the code using pure python. We recommend that you use the pure python version which is briefly constructed and easy to run. Thank sustcsonglin for his work.

repo:

https://github.com/sustcsonglin/ndmv.git

commit: df0bee3eb500c29137444dc11f0a720652670c08 (ldnmdv)

run:

python train.py

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