Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks?

Grammatical Error Correction Systems for Automated Assessment: Are They Susceptible to Universal Adversarial Attacks? Vyas Raina author Yiting Lu author Mark Gales author 2022-11 text Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) Yulan He editor Heng Ji editor Sujian Li editor Yang Liu editor Chua-Hui Chang editor Association for Computational Linguistics Online only conference publication raina-etal-2022-grammatical 10.18653/v1/2022.aacl-main.13 https://aclanthology.org/2022.aacl-main.13/ 2022-11 158 171