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Spoken Dialogue System for Information Navigation based on Statistical Learning of Semantic and Dialogue Structure.. Kyoto University, Japan, (2014)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)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)Operative Action Captioning for Estimating System Actions., , , , and . ICRA, page 6124-6130. IEEE, (2023)An Investigation of Machine Translation Evaluation Metrics in Cross-lingual Question Answering., , , , , , and . WMT@EMNLP, page 442-449. The Association for Computer Linguistics, (2015)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)