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  1. 02 情報科学
  2. 02 国際会議論文

MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References

http://hdl.handle.net/10061/0002001204
http://hdl.handle.net/10061/0002001204
e1c02319-2af5-4df2-8cbf-4862b432b85c
アイテムタイプ 会議発表論文 / Conference Paper(1)
公開日 2025-10-09
タイトル
タイトル MultiMSD: A Corpus for Multilingual Medical Text Simplification from Online Medical References
言語
言語 eng
資源タイプ
資源タイプ conference paper
アクセス権
アクセス権 open access
著者 Horiguchi, Koki

× Horiguchi, Koki

en Horiguchi, Koki

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Kajiwara, Tomoyuki

× Kajiwara, Tomoyuki

en Kajiwara, Tomoyuki

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Ninomiya, Takashi

× Ninomiya, Takashi

en Ninomiya, Takashi

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若宮, 翔子

× 若宮, 翔子

ja 若宮, 翔子

ja-Kana ワカミヤ, ショウコ

en Wakamiya, Shoko

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荒牧, 英治

× 荒牧, 英治

ja 荒牧, 英治

ja-Kana アラマキ, エイジ

en Aramaki, Eiji

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抄録
内容記述タイプ Abstract
内容記述 We release a parallel corpus for medical text simplification, which paraphrases medical terms into expressions easily understood by patients. Medical texts written by medical practitioners contain a lot of technical terms, and patients who are non-experts are often unable to use the information effectively. Therefore, there is a strong social demand for medical text simplification that paraphrases input sentences without using medical terms. However, this task has not been sufficiently studied in non-English languages. We therefore developed parallel corpora for medical text simplification in nine languages: German, English, Spanish, French, Italian, Japanese, Portuguese, Russian, and Chinese, each with 10,000 sentence pairs, by automatic sentence alignment to online medical references for professionals and consumers. We also propose a method for training text simplification models to actively paraphrase complex expressions, including medical terms. Experimental results show that the proposed method improves the performance of medical text simplification. In addition, we confirmed that training with a multilingual dataset is more effective than training with a monolingual dataset.
書誌情報 en : The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

p. 9248-9258, ページ数 11, 発行日 2025-07
会議情報
会議名 In Findings of the Association for Computational Linguistics: ACL 2025
開始年 2025
開始月 07
開始日 27
終了年 2025
終了月 08
終了日 01
開催期間 2025-07-27 - 2025-08-01
開催地 Vienna, Austria
開催国 AUT
出版者
出版者 Association for Computational Linguistics
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.18653/v1/2025.findings-acl.481
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://aclanthology.org/2025.findings-acl.481/
権利
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 ACL materials are Copyright © 1963–2025 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
著者版フラグ
出版タイプ NA
助成情報
助成機関名 National Center for Global Health and Medicine (NCGM)
研究課題番号 JPJ012425
研究課題名 Cross-ministerial Strategic Innovation Promotion Program (SIP) on “Integrated Health Care System”
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