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%0 Conference Proceedings
%T On the Lack of Robust Interpretability of Neural Text Classifiers
%A Zafar, Muhammad Bilal
%A Donini, Michele
%A Slack, Dylan
%A Archambeau, Cedric
%A Das, Sanjiv
%A Kenthapadi, Krishnaram
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F zafar-etal-2021-lack
%R 10.18653/v1/2021.findings-acl.327
%U https://aclanthology.org/2021.findings-acl.327
%U https://doi.org/10.18653/v1/2021.findings-acl.327
%P 3730-3740

Markdown (Informal)

[On the Lack of Robust Interpretability of Neural Text Classifiers](https://aclanthology.org/2021.findings-acl.327) (Zafar et al., Findings 2021)

• On the Lack of Robust Interpretability of Neural Text Classifiers (Zafar et al., Findings 2021)

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.