NLP-based metadata extraction for legal text consolidation

Authors:
PierLuigi Spinosa;Gerardo Giardiello;Manola Cherubini;Simone Marchi;Giulia Venturi;Simonetta Montemagni
Affiliations:
Institute of Legal Information, Firenze, Italy;Institute of Legal Information, Firenze, Italy;Institute of Legal Information, Firenze, Italy;Institute of Computational Linguistics, Pisa, Italy;Institute of Computational Linguistics, Pisa, Italy;Institute of Computational Linguistics, Pisa, Italy
Venue:
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Year:
2009

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Abstract

The paper describes a system for the automatic consolidation of Italian legislative texts to be used as a support of an editorial consolidating activity and dealing with the following typology of textual amendments: repeal, substitution and integration. The focus of the paper is on the semantic analysis of the textual amendment provisions and the formalized representation of the amendments in terms of meta-data. The proposed approach to consolidation is metadata--oriented and based on Natural Language Processing (NLP) techniques: we use XML--based standards for metadata annotation of legislative acts and a flexible NLP architecture for extracting metadata from parsed texts. An evaluation of achieved results is also provided.