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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.327.pdf
Video:
 https://aclanthology.org/2021.findings-acl.327.mp4
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