- Anthology ID:
- 2021.findings-acl.287
- 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:
- 3248–3258
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.287
- DOI:
- 10.18653/v1/2021.findings-acl.287
- Cite (ACL):
- Rongzhou Bao, Jiayi Wang, and Hai Zhao. 2021. Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3248–3258, Online. Association for Computational Linguistics.
- Cite (Informal):
- Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice (Bao et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2021.findings-acl.287.pdf
- Data
- IMDb Movie Reviews, SST