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• W3212496399 abstract "Lexical normalization, in addition to word segmentation and part-of-speech tagging, is a fundamental task for Japanese user-generated text processing. In this paper, we propose a text editing model to solve the three task jointly and methods of pseudo-labeled data generation to overcome the problem of data deficiency. Our experiments showed that the proposed model achieved better normalization performance when trained on more diverse pseudo-labeled data." @default.
• W3212496399 created "2021-11-22" @default.
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• W3212496399 date "2021-01-01" @default.
• W3212496399 modified "2023-10-12" @default.
• W3212496399 title "A Text Editing Approach to Joint Japanese Word Segmentation, POS Tagging, and Lexical Normalization" @default.
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• W3212496399 doi "https://doi.org/10.18653/v1/2021.wnut-1.9" @default.
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