MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition

Shuhui Wu, Yongliang Shen 0001, Zeqi Tan, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu 0001. MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition. In Houda Bouamor, Juan Pino 0001, Kalika Bali, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023. pages 2361-2374, Association for Computational Linguistics, 2023. [doi]

@inproceedings{Wu0TRGP023,
  title = {MProto: Multi-Prototype Network with Denoised Optimal Transport for Distantly Supervised Named Entity Recognition},
  author = {Shuhui Wu and Yongliang Shen 0001 and Zeqi Tan and Wenqi Ren and Jietian Guo and Shiliang Pu and Weiming Lu 0001},
  year = {2023},
  url = {https://aclanthology.org/2023.emnlp-main.145},
  researchr = {https://researchr.org/publication/Wu0TRGP023},
  cites = {0},
  citedby = {0},
  pages = {2361-2374},
  booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023},
  editor = {Houda Bouamor and Juan Pino 0001 and Kalika Bali},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-060-8},
}