@inproceedings{han-etal-2021-decoupling,
title = "Decoupling Adversarial Training for Fair {NLP}",
author = "Han, Xudong and
Baldwin, Timothy and
Cohn, Trevor",
editor = "Zong, Chengqing and
Xia, Fei and
Li, Wenjie and
Navigli, Roberto",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.41",
doi = "10.18653/v1/2021.findings-acl.41",
pages = "471--477",
}
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%0 Conference Proceedings
%T Decoupling Adversarial Training for Fair NLP
%A Han, Xudong
%A Baldwin, Timothy
%A Cohn, Trevor
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F han-etal-2021-decoupling
%R 10.18653/v1/2021.findings-acl.41
%U https://aclanthology.org/2021.findings-acl.41
%U https://doi.org/10.18653/v1/2021.findings-acl.41
%P 471-477
Markdown (Informal)
[Decoupling Adversarial Training for Fair NLP](https://aclanthology.org/2021.findings-acl.41) (Han et al., Findings 2021)
ACL
- Xudong Han, Timothy Baldwin, and Trevor Cohn. 2021. Decoupling Adversarial Training for Fair NLP. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 471–477, Online. Association for Computational Linguistics.