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Pytorch implementation of "Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training"

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MULTICAST

Code base for "Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training".

Env

Refer to repo OpenNRE, use pip to install required libraries → requirements.txt.

Run

  1. Run script download.py to download dataset nyt and embedding glove.
python download.py
  1. Run script train.sh to train and evaluate the DSRE models.
bash train.sh SEED

Cite

@inproceedings{chen2021empower,
  title={Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training},
  author={Chen, Tao and Shi, Haochen and Liu, Liyuan and Tang, Siliang and Shao, Jian and Chen, Zhigang and Zhuang, Yueting},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={14},
  pages={12675--12682},
  year={2021}
}

About

Pytorch implementation of "Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training"


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