Abstract
Nowadays, intelligent retrieval systems in law are vital in facilitating legal research and providing access to vast legal information. These systems allow users to search for legal information more efficiently and accurately. This paper investigates retrieval systems, their technological advancements, and their impact on legal research. The experimental results show that the proposed method is emerging to apply for analysis queries of practical law cases and extract suitable information from legal documents. It also discusses the challenges associated with law retrieval systems and explores future research directions to improve them.
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Le, H. H., Nguyen, C. T., Ngo, T. P., Vinh, P. V., Nguyen, B. T., Huynh, A. T., & Nguyen, H. D. (2023). Intelligent Retrieval System on Legal Information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13995 LNAI, pp. 97–108). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-5834-4_8
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