End-to-End Self-Debiasing Framework for Robust NLU Training
Abbas Ghaddar, Phillippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid
- Anthology ID:
- 2021.findings-acl.168
- 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:
- 1923–1929
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.168
- DOI:
- 10.18653/v1/2021.findings-acl.168
- Cite (ACL):
- Abbas Ghaddar, Phillippe Langlais, Mehdi Rezagholizadeh, and Ahmad Rashid. 2021. End-to-End Self-Debiasing Framework for Robust NLU Training. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 1923–1929, Online. Association for Computational Linguistics.
- Cite (Informal):
- End-to-End Self-Debiasing Framework for Robust NLU Training (Ghaddar et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2021.findings-acl.168.pdf
- Data
- FEVER, MultiNLI, PAWS