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Learning under Covariate Shift for Domain Adaptation for Word Sense Disambiguation.

, , and . PACLIC, ACL, (2015)

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Extracting linguistic speech patterns of Japanese fictional characters using subword units., and . CoRR, (2022)Constructing a Japanese Basic Named Entity Corpus of Various Genres., , and . NEWS@ACM, page 41-46. Association for Computational Linguistics, (2016)Composing Word Vectors for Japanese Compound Words Using Dependency Relations., , , and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 280-292. Springer, (2019)Cross-Lingual Product Recommendation Using Collaborative Filtering with Translation Pairs., , and . CICLing (2), volume 8404 of Lecture Notes in Computer Science, page 141-152. Springer, (2014)Generating a Set of Rules to Determine Honorific Expression Using Decision Tree Learning., , , and . CICLing, volume 3878 of Lecture Notes in Computer Science, page 315-318. Springer, (2006)Comparison of Methods to Annotate Named Entity Corpora., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 17 (4): 34:1-34:16 (2018)Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words., , , , , and . RANLP, page 291-297. RANLP 2015 Organising Committee / ACL, (2015)Negation Naive Bayes for Categorization of Product Pages on the Web., , , and . RANLP, page 586-591. RANLP 2011 Organising Committee, (2011)Japanese all-words WSD system using the Kyoto Text Analysis ToolKit., , , and . PACLIC, page 392-399. The National University (Phillippines), (2017)Domain Adaptation for Sentiment Analysis using Keywords in the Target Domain as the Learning Weight., , and . PACLIC, Association for Computational Linguistics, (2018)