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Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification.

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

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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)Application of Mix-Up Method in Document Classification Task Using BERT., and . RANLP, page 679-683. INCOMA Ltd., (2021)Detection of Japanese Homophone Errors by a Decision List Including a Written Word as a Default Evidence.. EACL, page 180-187. The Association for Computer Linguistics, (1999)Construction of Japanese BERT with Fixed Token Embeddings., and . PACLIC, page 356-361. De La Salle University, (2022)Evaluation of BERT Models by Using Sentence Clustering., , , , and . PACLIC, page 279-285. Association for Computational Linguistics, (2020)Use of Combined Topic Models in Unsupervised Domain Adaptation for Word Sense Disambiguation., and . PACLIC, National Chengchi University, Taiwan, (2013)Data Augmentation by Shuffling Phrases in Recognizing Textual Entailment., and . PACLIC, page 194-200. Association for Computational Linguistics, (2023)Unsupervised Domain Adaptation for Sentimental Classification by Word Embeddings on the Lower Layer of BERT., , , , and . TAAI, page 1-6. IEEE, (2019)Extraction of Unknown Words Using the Probability of Accepting the Kanji Character Sequence as One Word., and . LREC, European Language Resources Association, (2000)Removement of MisLeading Data in Transfer Learning Using BERT., and . TAAI, page 193-196. IEEE, (2022)