Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding

Huasha Zhao, Yi Yang, Qiong Zhang, Luo Si. Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding. In Marilyn A. Walker, Heng Ji, Amanda Stent, editors, Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers). pages 346-351, Association for Computational Linguistics, 2018. [doi]

@inproceedings{ZhaoYZS18,
  title = {Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding},
  author = {Huasha Zhao and Yi Yang and Qiong Zhang and Luo Si},
  year = {2018},
  url = {https://aclanthology.info/papers/N18-2056/n18-2056},
  researchr = {https://researchr.org/publication/ZhaoYZS18},
  cites = {0},
  citedby = {0},
  pages = {346-351},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers)},
  editor = {Marilyn A. Walker and Heng Ji and Amanda Stent},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-948087-29-2},
}