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Japanese Dialogue Corpus of Information Navigation and Attentive Listening Annotated with Extended ISO-24617-2 Dialogue Act Tags., , , , and . LREC, European Language Resources Association (ELRA), (2018)Synchrony in prosodic and linguistic features between backchannels and preceding utterances in attentive listening., , , , and . APSIPA, page 392-395. IEEE, (2015)Incorporating semantic information to selection of web texts for language model of spoken dialogue system., , and . ICASSP, page 8252-8256. IEEE, (2013)Eliciting Positive Emotion through Affect-Sensitive Dialogue Response Generation: A Neural Network Approach., , , and . AAAI, page 5293-5300. AAAI Press, (2018)Unsupervised Counselor Dialogue Clustering for Positive Emotion Elicitation in Neural Dialogue System., , , and . SIGDIAL Conference, page 161-170. Association for Computational Linguistics, (2018)Analyzing the Effect of Entrainment on Dialogue Acts., , , , and . SIGDIAL Conference, page 310-318. The Association for Computer Linguistics, (2016)Neural Conversation Model Controllable by Given Dialogue Act Based on Adversarial Learning and Label-aware Objective., , and . INLG, page 198-207. Association for Computational Linguistics, (2019)Language Modeling for Spoken Dialogue System based on Filtering using Predicate-Argument Structures., , and . COLING, page 2993-3002. Indian Institute of Technology Bombay, (2012)Neural Network Approaches to Dialog Response Retrieval and Generation., , , , and . IEICE Trans. Inf. Syst., 99-D (10): 2508-2517 (2016)Entrainable Neural Conversation Model Based on Reinforcement Learning., , , and . IEEE Access, (2020)