Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training

Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou 0016. Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021. pages 1641-1652, Association for Computational Linguistics, 2021. [doi]

@inproceedings{HuZZZZ21,
  title = {Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training},
  author = {Yun Hu and Yeshuang Zhu and Jinchao Zhang and Changwen Zheng and Jie Zhou 0016},
  year = {2021},
  url = {https://aclanthology.org/2021.findings-acl.143},
  researchr = {https://researchr.org/publication/HuZZZZ21},
  cites = {0},
  citedby = {0},
  pages = {1641-1652},
  booktitle = {Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021},
  editor = {Chengqing Zong and Fei Xia and Wenjie Li 0002 and Roberto Navigli},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-54-1},
}