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%0 Conference Proceedings
%T A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples
%A Wang, Yuxuan
%A Che, Wanxiang
%A Titov, Ivan
%A Cohen, Shay B.
%A Lei, Zhilin
%A Liu, Ting
%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 wang-etal-2021-closer
%R 10.18653/v1/2021.findings-acl.207
%U https://aclanthology.org/2021.findings-acl.207
%U https://doi.org/10.18653/v1/2021.findings-acl.207
%P 2344-2354

Markdown (Informal)

[A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://aclanthology.org/2021.findings-acl.207) (Wang et al., Findings 2021)

• A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples (Wang et al., Findings 2021)

ACL

• Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, and Ting Liu. 2021. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2344–2354, Online. Association for Computational Linguistics.