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  1. 02 情報科学
  2. 02 国際会議論文

Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law

http://hdl.handle.net/10061/0002000907
http://hdl.handle.net/10061/0002000907
24d9f8b4-77a7-452a-92c6-09ab20d76a82
アイテムタイプ 会議発表論文 / Conference Paper(1)
公開日 2025-05-21
タイトル
タイトル Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law
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 Choi, Jungmin

× Choi, Jungmin

en Choi, Jungmin

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Honda, Ukyo

× Honda, Ukyo

en Honda, Ukyo

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渡辺, 太郎

× 渡辺, 太郎

ja 渡辺, 太郎

ja-Kana ワタナベ, タロウ

en Watanabe, Taro

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Inui, Kentaro

× Inui, Kentaro

en Inui, Kentaro

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大内, 啓樹

× 大内, 啓樹

ja 大内, 啓樹

ja-Kana オオウチ, ヒロキ

en Ouchi, Hiroki

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抄録
内容記述タイプ Abstract
内容記述 We study the information retrieval task to identify the relevant law articles for a query on a legal issue in when the legal system in question is statute law. In recent years, the mainstream approach has been to calculate the similarity between the query and each article using pre-trained language models. However, such methods have a weakness in retrieving relevant articles that have low n-gram similarity scores with the query. In this work, we show that in such hard cases, the articles tend to be of the same class as articles with high n-gram similarity scores in the hierarchical structure of statute law, for instance, the Japanese Civil Code. From this observation, we hypothesize that by making articles of same class close to each other in the feature space, we could make it easier to retrieve the above mentioned hard articles. Our proposed method realizes this by supervised contrastive learning using the hierarchical structure. Experimental results show that the proposed method achieves higher performance in retrieving the correct articles with low n-gram similarity to the query.
書誌情報 en : Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation

p. 590-599, 発行日 2022-10-20
会議情報
会議名 The 36th Pacific Asia Conference on Language, Information and Computation
開始年 2022
開始月 10
開始日 20
終了年 2022
終了月 10
終了日 22
開催地 Manila, Philippines
開催国 PHL
出版者
出版者 Association for Computational Linguistics
ISSN
収録物識別子タイプ EISSN
収録物識別子 2619-7782
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/2022.paclic-1.65/
権利
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 $00A9 2022 PACLIC 36 (2022) Organizing Committee and PACLIC Steering Committee.
著者版フラグ
出版タイプ NA
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