Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples

Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang. Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. In Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel R. Tetreault, editors, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020. pages 6600-6610, Association for Computational Linguistics, 2020. [doi]

@inproceedings{ZhengZZHCH20,
  title = {Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples},
  author = {Xiaoqing Zheng and Jiehang Zeng and Yi Zhou and Cho-Jui Hsieh and Minhao Cheng and Xuanjing Huang},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.acl-main.590/},
  researchr = {https://researchr.org/publication/ZhengZZHCH20},
  cites = {0},
  citedby = {0},
  pages = {6600-6610},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020},
  editor = {Dan Jurafsky and Joyce Chai and Natalie Schluter and Joel R. Tetreault},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-25-5},
}