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Delta-Learning for Event Detection

This is the source code for paper "Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning" in ACL 2019.

Requirements

  • Python 2.7
  • PyTorch >= 0.4.0
  • six
  • nltk
  • h5py (for pre-computed elmo representation)

Usage

Train and test the model

  • python train_event_detector.py
  • python eval_event_detector.py

Hyper-parameters in our paper are saved in option file "base/option.py" and running script "scripts/run_ace2005.sh" or "scripts/run_kbp2017.sh".

Citation

If this repository helps you, please cite this paper:

  • Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun. Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
@InProceedings{lu-etal:2019:ACL2019Delta,
  author    = {Lu, Yaojie and Lin, Hongyu and Han, Xianpei and Sun, Le},
  title     = {Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning},
  booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  month     = {July},
  year      = {2019},
  location  = {Florence, Italy},
  publisher = {Association for Computational Linguistics},
  pages     = {4366--4376},
  url       = {https://www.aclweb.org/anthology/P19-1429}
}

Contact

If you have any question or want to request for the preprocessed data (only if you have the license from LDC) and trained models, please contact me by

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Source code for paper "Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning" in ACL 2019.

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