Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren. Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. In Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan 0001, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019. pages 3839-3848, Association for Computational Linguistics, 2019. [doi]

@inproceedings{YeLZR19,
  title = {Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction},
  author = {Qinyuan Ye and Liyuan Liu and Maosen Zhang and Xiang Ren},
  year = {2019},
  doi = {10.18653/v1/D19-1397},
  url = {https://doi.org/10.18653/v1/D19-1397},
  researchr = {https://researchr.org/publication/YeLZR19},
  cites = {0},
  citedby = {0},
  pages = {3839-3848},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019},
  editor = {Kentaro Inui and Jing Jiang and Vincent Ng and Xiaojun Wan 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-950737-90-1},
}