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Discourse Relation Recognition by Comparing Various Units of Sentence Expression with Recursive Neural Network.

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

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What Information Should a Dialogue System Understand?: Collection and Analysis of Perceived Information in Chat-Oriented Dialogue., , and . IWSDS, volume 510 of Lecture Notes in Electrical Engineering, page 27-36. Springer, (2017)A Pilot Study of Readability Prediction with Reading Time., , and . PITR@ACL, page 78-84. Association for Computational Linguistics, (2013)Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture., , , and . AAAI, page 168-174. AAAI Press, (2017)Entity Set Expansion using Interactive Topic Information., , , and . PACLIC, page 108-116. PACLIC 26 Organizing Committee and PACLIC Steering Committee / ACL / Faculty of Computer Science, Universitas Indonesia, (2012)Evaluating coherence in open domain conversational systems., , , , , and . INTERSPEECH, page 130-134. ISCA, (2014)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)Syntactic Filtering and Content-Based Retrieval of Twitter Sentences for the Generation of System Utterances in Dialogue Systems., , , , , , and . IWSDS, page 15-26. Springer, (2014)Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP., and . COLING, page 698-704. Morgan Kaufmann, (2000)Text Summarization Model based on Redundancy-Constrained Knapsack Problem., , , and . COLING (Posters), page 893-902. Indian Institute of Technology Bombay, (2012)Domain adaptation with augmented space method for multi-domain contact center dialogue summarization., , and . MLSLP, page 5-8. ISCA, (2012)