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 metadata. 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.

NLP based Metadata Extraction for Legal Text Consolidation

Spinosa P;Giardiello G;Cherubini M;Marchi S;Venturi G;Montemagni S
2009

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 metadata. 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.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di Teoria e Tecniche dell'Informazione Giuridica - ITTIG - Sede Firenze -
dc.authority.orgunit Istituto di Informatica Giuridica e Sistemi Giudiziari - IGSG -
dc.authority.people Spinosa P it
dc.authority.people Giardiello G it
dc.authority.people Cherubini M it
dc.authority.people Marchi S it
dc.authority.people Venturi G it
dc.authority.people Montemagni S it
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dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
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dc.date.accessioned 2024/02/15 19:10:59 -
dc.date.available 2024/02/15 19:10:59 -
dc.date.issued 2009 -
dc.description.abstracteng 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 metadata. 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. -
dc.description.affiliations Institute of Legal Information Theory and Techniques of CNR Institute of Computational Linguistics of CNR -
dc.description.allpeople Spinosa P.; Giardiello G.; Cherubini M.; Marchi S.; Venturi G.; Montemagni S. -
dc.description.allpeopleoriginal Spinosa P.; Giardiello G.; Cherubini M.; Marchi S.; Venturi G.; Montemagni S. -
dc.description.fulltext none en
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dc.identifier.doi 10.1145/1568234.1568240 -
dc.identifier.isbn 978-1-60558-597-0 -
dc.identifier.scopus 2-s2.0-70450193033 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/1330 -
dc.language.iso eng -
dc.publisher.country USA -
dc.publisher.name Association Of Computing Machinery (ACM) -
dc.publisher.place New York -
dc.relation.alleditors Carole D. Hafner; Pompeu Casanovas -
dc.relation.conferencedate June 8-12, 2009 -
dc.relation.conferencename Twelfth International Conference on Artificial Intelligence and Law (ICAIL 2009) -
dc.relation.conferenceplace Barcelona -
dc.relation.firstpage 40 -
dc.relation.ispartofbook Proceeding ICAIL '09 Proceedings of the 12th International Conference on Artificial Intelligence and Law -
dc.relation.lastpage 49 -
dc.relation.numberofpages 10 -
dc.subject.keywords Natural Language Processing -
dc.subject.keywords textual amendments -
dc.subject.keywords XML representation -
dc.subject.keywords metadata extraction -
dc.subject.keywords consolidation of legal text -
dc.subject.singlekeyword Natural Language Processing *
dc.subject.singlekeyword textual amendments *
dc.subject.singlekeyword XML representation *
dc.subject.singlekeyword metadata extraction *
dc.subject.singlekeyword consolidation of legal text *
dc.title NLP based Metadata Extraction for Legal Text Consolidation en
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scopus.contributor.surname Spinosa -
scopus.contributor.surname Giardiello -
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scopus.contributor.surname Marchi -
scopus.contributor.surname Venturi -
scopus.contributor.surname Montemagni -
scopus.date.issued 2009 *
scopus.description.abstracteng 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 metadata. 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. Natural Language Processing, textual amendments, XML representation, metadata extraction, consolidation of legal text Copyright 2009 ACM. *
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scopus.title NLP-based metadata extraction for legal text consolidation *
scopus.titleeng NLP-based metadata extraction for legal text consolidation *
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