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A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning.

, , , , , , , and . COLING, page 2310-2321. International Committee on Computational Linguistics, (2020)

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SELC: a self-supervised model for sentiment classification., , , and . CIKM, page 929-936. ACM, (2009)Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data., , , , , , , and . EMNLP (1), page 2594-2604. Association for Computational Linguistics, (2021)SESS: A Self-Supervised and Syntax-Based Method for Sentiment Classification., , , and . PACLIC, page 596-605. City University of Hong Kong Press, (2009)MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue*., , , , , and . IJCNN, page 1-8. IEEE, (2019)Knowledge attention sandwich neural network for text classification., , , , , and . Neurocomputing, (2020)Towards A Six-Level Framework of Emotional Intelligence for Customer Service Chatbots., , , , , and . AffCon@AAAI, volume 2897 of CEUR Workshop Proceedings, page 35-42. CEUR-WS.org, (2021)Expanding Chinese Sentiment Dictionaries from Large Scale Unlabeled Corpus., , , and . PACLIC, page 301-310. Institute for Digital Enhancement of Cognitive Development, Waseda University, (2010)Path-Based Visual Explanation., , , , , , and . NLPCC (2), volume 12431 of Lecture Notes in Computer Science, page 454-466. Springer, (2020)On the Impact of Self-efficacy on Assessment of User Experience in Customer Service Chatbot Conversations., , , , , , , and . IWSDS, volume 943 of Lecture Notes in Electrical Engineering, page 253-262. Springer, (2021)Using Reviewer Information to Improve Performance of Low-Quality Review Detection., , and . CICLing (2), volume 13397 of Lecture Notes in Computer Science, page 381-399. Springer, (2018)