Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings

Zenan Zhai, Dat Quoc Nguyen, Saber A. Akhondi, Camilo Thorne, Christian Druckenbrodt, Trevor Cohn, Michelle Gregory, Karin Verspoor. Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings. In Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii, editors, Proceedings of the 18th BioNLP Workshop and Shared Task, BioNLP@ACL 2019, Florence, Italy, August 1, 2019. pages 328-338, Association for Computational Linguistics, 2019. [doi]

@inproceedings{ZhaiNATDCGV19,
  title = {Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings},
  author = {Zenan Zhai and Dat Quoc Nguyen and Saber A. Akhondi and Camilo Thorne and Christian Druckenbrodt and Trevor Cohn and Michelle Gregory and Karin Verspoor},
  year = {2019},
  url = {https://www.aclweb.org/anthology/W19-5035/},
  researchr = {https://researchr.org/publication/ZhaiNATDCGV19},
  cites = {0},
  citedby = {0},
  pages = {328-338},
  booktitle = {Proceedings of the 18th BioNLP Workshop and Shared Task, BioNLP@ACL 2019, Florence, Italy, August 1, 2019},
  editor = {Dina Demner-Fushman and Kevin Bretonnel Cohen and Sophia Ananiadou and Junichi Tsujii},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-28-4},
}