On the Lack of Robust Interpretability of Neural Text Classifiers
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cedric Archambeau, Sanjiv Das, Krishnaram Kenthapadi
- Anthology ID:
- 2021.findings-acl.327
- 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:
- 3730–3740
- Language:
- URL:
- https://aclanthology.org/2021.findings-acl.327
- DOI:
- 10.18653/v1/2021.findings-acl.327
- Cite (ACL):
- Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cedric Archambeau, Sanjiv Das, and Krishnaram Kenthapadi. 2021. On the Lack of Robust Interpretability of Neural Text Classifiers. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 3730–3740, Online. Association for Computational Linguistics.
- Cite (Informal):
- On the Lack of Robust Interpretability of Neural Text Classifiers (Zafar et al., Findings 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.findings-acl.327.pdf
- Data
- IMDb Movie Reviews, SST, SST-2