AUTOMATIC EXTRACTION OF INFORMATION FROM NEW ZEALAND COURT DECISIONS
DOI:
https://doi.org/10.24867/20BE05MatkovicKeywords:
court decisions, data extraction, NLP, neural networksAbstract
This paper proposes using Natural Language Processing technics for metadata extraction from New Zealand’s court decisions. Machine Learning and Deep Learning methods are proposed for obtaining legislations relevant for making these decisions and the quality of obtained results is evaluated. Using extracted references, precedents and subsequent decisions are retrieved and groups of linked legal documents are formed.
References
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[3] M. van Opijnen, N. Verwer and J. Meijer, "Beyond the experiment: the eXtendable legal link eXtractor," In Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts, held in conjunction with the 2015 International Conference on AI and Law (ICAIL)., 2015, June.
[4] J. Cushman, M. Dahl and M. Lissner, "Еyecite: A tool for parsing legal citations," Journal of Open Source Software, 2021.
[5] M. Palmirani, R. Brighi and M. Massini, "Automated extraction of normative references in legal texts," In Proceedings of the 9th international conference on AI and law, pp. 105-106, 2003, June.
[6] New Zealand Legal Information Institute, http://www.nzlii.org/. (приступљено у августу 2022.)
[7] New Zealand Legislation, https://www.legislation.govt.nz/ (приступљено у августу 2022.)
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Published
2022-11-02
Issue
Section
Electrotechnical and Computer Engineering
