Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation

SeungJae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, Il-Chul Moon. Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation. In Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020. pages 3126-3140, Association for Computational Linguistics, 2020. [doi]

@inproceedings{ShinSJKJM20,
  title = {Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation},
  author = {SeungJae Shin and Kyungwoo Song and JoonHo Jang and Hyemi Kim and Weonyoung Joo and Il-Chul Moon},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.findings-emnlp.280/},
  researchr = {https://researchr.org/publication/ShinSJKJM20},
  cites = {0},
  citedby = {0},
  pages = {3126-3140},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020},
  editor = {Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-90-3},
}