He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation
Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu N, Niyati Chhaya, Balaji Vasan Srinivasan
- Anthology ID:
- 2021.findings-acl.397
- Volume:
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Month:
- August
- Year:
- 2021
- Address:
- Online
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 4534–4545
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.397
- DOI:
- 10.18653/v1/2021.findings-acl.397
- Cite (ACL):
- Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu N, Niyati Chhaya, and Balaji Vasan Srinivasan. 2021. He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4534–4545, Online. Association for Computational Linguistics.
- Cite (Informal):
- He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation (Garimella et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2021.findings-acl.397.pdf
- Data
- WikiText-103, WikiText-2