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 |
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| 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.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 |
| dc.description.numberofauthors | 6 | - |
| dc.identifier.doi | 10.1145/1568234.1568240 | - |
| dc.identifier.isbn | 978-1-60558-597-0 | - |
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| 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.affiliation | Institute of Legal Information Theory and Techniques | - |
| scopus.contributor.affiliation | Institute of Legal Information Theory and Techniques | - |
| scopus.contributor.affiliation | Institute of Legal Information Theory and Techniques | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics | - |
| scopus.contributor.affiliation | Institute of Computational Linguistics | - |
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| scopus.contributor.country | Italy | - |
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| scopus.contributor.surname | Spinosa | - |
| scopus.contributor.surname | Giardiello | - |
| scopus.contributor.surname | Cherubini | - |
| 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 | * |
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| Appare nelle tipologie: | 04.01 Contributo in Atti di convegno | |
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