Automated extraction of normative references in legal texts
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
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Proceedings of the 2007 conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference
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FDIA'07 Proceedings of the 1st BCS IRSG conference on Future Directions in Information Access
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This paper introduces visualization methods for an initial approximation of the structure in any legislative act, procedures for relevance calculation and metrics for calculating the distance between the sections. To evaluate the methodology in real world scenarios, experimental results for the law of obligations are included and analyzed. The results of the study show that it is possible to get insightful and interpretable results when analyzing only the inner-structure of the legislative act constructed by references between the sections. Methods and metrics presented in this paper can be directly applied to current keyword-based searching systems of legal texts for relevance ranking enhancement.