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Automatic conversion of sentence-end expressions for utterance characterization of dialogue systems.

, , , , and . PACLIC, ACL, (2015)

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Speedup of hypothetical reasoning by experience-based learning mechanism., and . Knowl. Based Syst., 7 (3): 189-198 (1994)Automatic conversion of sentence-end expressions for utterance characterization of dialogue systems., , , , and . PACLIC, ACL, (2015)Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network., , , , , , and . PACLIC, ACL, (2015)Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model., , , , , and . COLING, page 1648-1659. ACL, (2014)Towards an open-domain conversational system fully based on natural language processing., , , , , , , , and . COLING, page 928-939. ACL, (2014)Estimating callers' levels of knowledge in call center dialogues., , , and . INTERSPEECH, page 2866-2870. ISCA, (2013)On the difficulty of improving hand-crafted rules in chat-oriented dialogue systems., , , , and . APSIPA, page 1014-1018. IEEE, (2015)Efficient hypothetical reasoning system for predicate-logic knowledge base., , and . Knowl. Based Syst., 6 (2): 87-94 (1993)Utterance Selection Using Discourse Relation Filter for Chat-oriented Dialogue Systems., , , , , and . IWSDS, volume 427 of Lecture Notes in Electrical Engineering, page 355-365. Springer, (2016)A Pilot Study of Readability Prediction with Reading Time., , and . PITR@ACL, page 78-84. Association for Computational Linguistics, (2013)