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政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/148301

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/148301

Title:	Intelligent processing of judicial documents based on deep learning
Authors:	劉昭麟 Liu, Chao-Lin;Wang, JingZi
Contributors:	資訊系
Keywords:	Multi-label classification;deep learning;Natural language processing;Chinese judicial documents
Date:	2022-12
Issue Date:	2023-11-30 11:26:37 (UTC+8)
Abstract:	Legal judgement prediction is a critical application in the law and AI field, and has received great attention in recent years. In this paper, we focus on the recommendations of applicable law articles for a given criminal case. This is a multi-label problem in nature, since it is common for a sequence of criminal activities to violate the law in many aspects. We compare two different strategies for identifying the articles. The first one employs only the Lawformer, which is a Longformer-based model designed specifically for the legal domain, and the second one will combine the applications of the Lawformer with a traditional technique for keyword selection. The experimental results indicate that integrating the deep learning and the traditional methods provide a better result.
Relation:	Proceedings of 2022 International Conference on Computational Science and Computational Intelligence, American Council on Science and Education, pp.321-322
Data Type:	conference
DOI 連結:	https://doi.org/10.1109/CSCI58124.2022.00064
DOI:	10.1109/CSCI58124.2022.00064
Appears in Collections:	[資訊科學系] 會議論文

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