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Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models.

, , , , and . CoRR, (2019)

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A Knowledge-Grounded Neural Conversation Model., , , , , , and . CoRR, (2017)A Knowledge-Grounded Neural Conversation Model., , , , , , and . AAAI, page 5110-5117. AAAI Press, (2018)User Input and Interactions on Microsoft Research ESL Assistant., , and . BEA@NAACL, page 73-81. Association for Computational Linguistics, (2009)Using a Broad-Coverage Parser for Word-Breaking in Japanese., , and . COLING, page 822-828. Morgan Kaufmann, (2000)Robust Segmentation of Japanese Text into a Lattice for Parsing., , and . COLING, page 390-396. Morgan Kaufmann, (2000)Using Contextual Speller Techniques and Language Modeling for ESL Error Correction., , , , , , and . IJCNLP, page 449-456. The Association for Computer Linguistics, (2008)A Diversity-Promoting Objective Function for Neural Conversation Models., , , , and . HLT-NAACL, page 110-119. The Association for Computational Linguistics, (2016)Domain Adaptive Text Style Transfer., , , , , , and . EMNLP/IJCNLP (1), page 3302-3311. Association for Computational Linguistics, (2019)Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models., , , , and . CoRR, (2019)Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs., , and . NLPRS, page 393-399. (2001)