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Measuring Beginner Friendliness of Japanese Web Pages explaining Academic Concepts by Integrating Neural Image Feature and Text Features.

, , , , , , and . NLP-TEA@ACL, page 143-151. Association for Computational Linguistics, (2018)

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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)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)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)Spoken Dialog Training System for Customer Service Improvement., , , , , , and . APSIPA, page 403-408. IEEE, (2020)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)A Multi-Hop Attention for RNN based Neural Machine Translation., , , , , and . PSLT@MTSummit, page 24-31. European Association for Machine Translation, (2019)BERT based Web Mining of Concerns and Reviews for TV Drama Audience., , , , , , , and . WI (Companion), page 64-71. ACM, (2019)