XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models

Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya 0001, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren 0001. XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. In Danushka Bollegala, Ruihong Huang, Alan Ritter, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, ACL 2023, Toronto, Canada, July 10-12, 2023. pages 264-273, Association for Computational Linguistics, 2023. [doi]

Abstract

Abstract is missing.