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Multi-Task Learning of Japanese How-to Tip Machine Reading Comprehension by a Generative Model.

, , , , and . IEICE Trans. Inf. Syst., 107 (1): 125-134 (January 2024)

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Identifying Rush Strategies Employed in StarCraft II Using Support Vector Machines., , , , and . ICEC, volume 10507 of Lecture Notes in Computer Science, page 357-361. Springer, (2017)Generating the Expression of the Move of Go by Classifier Learning., and . ICEC, volume 10507 of Lecture Notes in Computer Science, page 299-309. Springer, (2017)Evaluating effects of machine translation accuracy on cross-lingual patent retrieval., , , and . SIGIR, page 674-675. ACM, (2009)Detecting splogs using similarities of splog HTML structures., , , , and . ICUIMC, page 37. ACM, (2010)Learning to Identify Rush Strategies in StarCraft., , and . ICEC, volume 11112 of Lecture Notes in Computer Science, page 90-102. Springer, (2018)Detecting Japanese Compound Functional Expressions using Canonical/Derivational Relation., , , , , and . LREC, page 2012. European Language Resources Association (ELRA), (2012)Compiling French-Japanese Terminologies from the Web., , , , and . EACL, The Association for Computer Linguistics, (2006)Semi-Automatic Identification of Bilingual Synonymous Technical Terms from Phrase Tables and Parallel Patent Sentences., , and . PACLIC, page 196-205. Digital Enhancement of Cognitive Development, Waseda University, (2011)BERT based Web Mining of Concerns and Reviews for TV Drama Audience., , , , , , , and . WI (Companion), page 64-71. ACM, (2019)Collecting Bilingual Technical Terms from Japanese-Chinese Patent Families by SVM., , , , and . PACLING, volume 593 of Communications in Computer and Information Science, page 251-262. Springer, (2015)