Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport

Kaiwen Wei, Yiran Yang, Li Jin, Xian Sun, Zequn Zhang, Jingyuan Zhang, Xiao Li, Linhao Zhang, Jintao Liu, Guo Zhi. Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport. 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 4971-4984, Association for Computational Linguistics, 2023. [doi]

@inproceedings{WeiYJSZZLZLZ23,
  title = {Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport},
  author = {Kaiwen Wei and Yiran Yang and Li Jin and Xian Sun and Zequn Zhang and Jingyuan Zhang and Xiao Li and Linhao Zhang and Jintao Liu and Guo Zhi},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.272},
  researchr = {https://researchr.org/publication/WeiYJSZZLZLZ23},
  cites = {0},
  citedby = {0},
  pages = {4971-4984},
  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},
}