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
- Editors:
- Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2344–2354
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.207/
- DOI:
- 10.18653/v1/2021.findings-acl.207
- 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)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2021.findings-acl.207.pdf
- Code
- wangyuxuan93/depattacker