OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification

Jie Cao, Yin Zhang. OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 5588-5597, Association for Computational Linguistics, 2022. [doi]

@inproceedings{CaoZ22-14,
  title = {OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification},
  author = {Jie Cao and Yin Zhang},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.377},
  researchr = {https://researchr.org/publication/CaoZ22-14},
  cites = {0},
  citedby = {0},
  pages = {5588-5597},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
  editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
  publisher = {Association for Computational Linguistics},
}