Continual Contrastive Finetuning Improves Low-Resource Relation Extraction

Wenxuan Zhou, Sheng Zhang 0012, Tristan Naumann, Muhao Chen, Hoifung Poon. Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 13249-13263, Association for Computational Linguistics, 2023. [doi]

@inproceedings{Zhou0NCP23,
  title = {Continual Contrastive Finetuning Improves Low-Resource Relation Extraction},
  author = {Wenxuan Zhou and Sheng Zhang 0012 and Tristan Naumann and Muhao Chen and Hoifung Poon},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.739},
  researchr = {https://researchr.org/publication/Zhou0NCP23},
  cites = {0},
  citedby = {0},
  pages = {13249-13263},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-72-2},
}