A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples

Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu


Anthology ID:
2021.findings-acl.207
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:
2344–2354
Language:
URL:
https://aclanthology.org/2021.findings-acl.207
DOI:
10.18653/v1/2021.findings-acl.207
Bibkey:
Cite (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.
Cite (Informal):
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples (Wang et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.207.pdf
Video:
 https://aclanthology.org/2021.findings-acl.207.mp4
Code
 wangyuxuan93/depattacker