Legal Information Retrieval systems: State-of-the-art and open issues

Sansone Carlo; Sperli Giancarlo

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Legal Information Retrieval systems: State-of-the-art and open issues

机译：Legal Information Retrieval systems: State-of-the-art and open issues

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In the last years, the legal domain has been revolutionized by the use of Information and Communication Technologies, producing large amount of digital information. Legal practitioners' needs, then, in browsing these repositories has required to investigate more efficient retrieval methods, that assume more relevance because digital information is mostly unstructured. In this paper we analyze the state-of-the-art of artificial intelligence approaches for legal domain, focusing on Legal Information Retrieval systems based on Natural Language Processing, Machine Learning and Knowledge Extraction techniques. Finally, we also discuss challenges - mainly focusing on retrieving similar cases, statutes or paragraph for supporting latest cases' analysis - and open issues about Legal Information Retrieval systems.(c) 2021 Elsevier Ltd. All rights reserved.& nbsp;

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《Information systems》 |2022年第5期|101967.1-101967.14|共14页
作者
Sansone Carlo; Sperli Giancarlo;
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作者单位

Univ Naples Federico II, Dept Elect Engn & Informat Technol DIETI, Via Claudio 21, Naples, Italy;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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关键词
Legal Information Retrieval; Artificial Intelligence; Natural Processing Language; Ontology;

Legal Information Retrieval systems: State-of-the-art and open issues

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