Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis

Hirokazu Kiyomaru, Sadao Kurohashi. Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis. In Kristina Toutanova, Anna Rumshisky, Luke Zettlemoyer, Dilek Hakkani-Tür, Iz Beltagy, Steven Bethard, Ryan Cotterell, Tanmoy Chakraborty 0002, Yichao Zhou, editors, Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021. pages 5578-5584, Association for Computational Linguistics, 2021. [doi]

@inproceedings{KiyomaruK21,
  title = {Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis},
  author = {Hirokazu Kiyomaru and Sadao Kurohashi},
  year = {2021},
  url = {https://www.aclweb.org/anthology/2021.naacl-main.442/},
  researchr = {https://researchr.org/publication/KiyomaruK21},
  cites = {0},
  citedby = {0},
  pages = {5578-5584},
  booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021, Online, June 6-11, 2021},
  editor = {Kristina Toutanova and Anna Rumshisky and Luke Zettlemoyer and Dilek Hakkani-Tür and Iz Beltagy and Steven Bethard and Ryan Cotterell and Tanmoy Chakraborty 0002 and Yichao Zhou},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-46-6},
}