Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction

Qingyu Tan, Lu Xu 0007, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied. Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. 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 8472-8487, Association for Computational Linguistics, 2022. [doi]

@inproceedings{Tan0BNA22,
  title = {Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction},
  author = {Qingyu Tan and Lu Xu 0007 and Lidong Bing and Hwee Tou Ng and Sharifah Mahani Aljunied},
  year = {2022},
  url = {https://aclanthology.org/2022.emnlp-main.580},
  researchr = {https://researchr.org/publication/Tan0BNA22},
  cites = {0},
  citedby = {0},
  pages = {8472-8487},
  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},
}