Decoupling Adversarial Training for Fair NLP

Xudong Han, Timothy Baldwin, Trevor Cohn


Anthology ID:
2021.findings-acl.41
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
471–477
Language:
URL:
https://aclanthology.org/2021.findings-acl.41
DOI:
10.18653/v1/2021.findings-acl.41
Bibkey:
Cite (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.
Cite (Informal):
Decoupling Adversarial Training for Fair NLP (Han et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.41.pdf
Video:
 https://aclanthology.org/2021.findings-acl.41.mp4
Code
 hanxudong/decoupling_adversarial_training_for_fair_nlp