- 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
- 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)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/2021.findings-acl.41.pdf
- Code
- hanxudong/decoupling_adversarial_training_for_fair_nlp