Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation

Francisco Vargas, Ryan Cotterell. Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 2902-2913, Association for Computational Linguistics, 2020. [doi]

@inproceedings{VargasC20-0,
  title = {Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation},
  author = {Francisco Vargas and Ryan Cotterell},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.232/},
  researchr = {https://researchr.org/publication/VargasC20-0},
  cites = {0},
  citedby = {0},
  pages = {2902-2913},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}