sanmusunrise / csr

Cost-sensitive Regularization for Label Confusion-aware Event Detection

Cost-sensitive Regularization for Label Confusion-aware Event Detection

This is the source code for paper "Cost-sensitive Regularization for Label Confusion-aware Event Detection" in ACL2019.

Requirements

• Tensorflow >= 1.2.0

Usage

First, please unzip the word2vec embeddings in "word2vec_data/"

• gzip -d word2vec_data/ere2017.english.giga.lower.token.sg.win5.neg5.iter5.dim300.txt.gz
• gzip -d word2vec_data/word_word2vec.dat.gz

Then enter "src/CNN/src_*" dir, run the program like

• python DMCNN.py config_csr_instance.cfg

Hyperparameters in our paper are saved in configure files.

Citation

Please cite:

• Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun. Nugget Proposal Networks for Chinese Event Detection. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics.

@InProceedings{lin-Etal:2019:ACL2019nugget,
  author    = {Lin, Hongyu and Lu, Yaojie and Han, Xianpei and Sun, Le},
  title     = {Cost-sensitive Regularization for Label Confusion-aware Event Detection},
  booktitle = {Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics},
  month     = {July},
  year      = {2019},
  publisher = {Association for Computational Linguistics}
}

Contact

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

• [email protected]

csr's Issues

Can't find Lamda Hyper parameter

I can't find Lamda hyper parameter for cost-sensitive. Can you mention it for me? Thanks so much!