Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers

Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers Hanjie Chen author Yangfeng Ji author 2020-11 text Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Bonnie Webber editor Trevor Cohn editor Yulan He editor Yang Liu editor Association for Computational Linguistics Online conference publication chen-ji-2020-learning 10.18653/v1/2020.emnlp-main.347 https://aclanthology.org/2020.emnlp-main.347/ 2020-11 4236 4251