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Pytorch implementation of Graph-to-Graph Transformer for Transition-based Dependency Parsing accepted to EMNLP 2020

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Graph-to-Graph Transformer

Pytorch implementation of "Graph-to-Graph Transformer for Transition-based Dependency Parsing"

Sentence Transformer

To reproduce results of SentTr and SentTr+G2GTr model, you can find all required materials in senttr directory.

State Transformer

To reproduce results of all variations of StateTr model, you can find all required materials in statetr directory.

General Graph-to-Graph Transformer

To use our Graph-to-Graph Transformer for other NLP tasks, plese refer to this repository.

Citation

If you use the code for your research, please cite this work as:

@misc{mohammadshahi2020graphtograph,
      title={Graph-to-Graph Transformer for Transition-based Dependency Parsing}, 
      author={Alireza Mohammadshahi and James Henderson},
      year={2020},
      eprint={1911.03561},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

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Pytorch implementation of Graph-to-Graph Transformer for Transition-based Dependency Parsing accepted to EMNLP 2020

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  • Python 73.6%
  • Perl 25.1%
  • Shell 1.3%