The last few years have seen a growing body of research and practice addressing aspects such as automated legal reasoning and argumentation, semantic and cross-language legal information retrieval, document classification, legal drafting, legal knowledge discovery and extraction. This State-of-the-Art Survey contains invited contributions of leading researchers and groups eminently active in the field, which were complemented with selected papers from the Workshop on Semantic Processing of Legal Texts, held in Marrakech, Morocco, in 2008, within the framework of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). These publications mirror the state-of-the-art in linguistic technologies, tools and resources focusing on the automatic extraction of relevant information from legal texts, and the structured organization of this extracted knowledge for legal knowledge representation and scholarly activity, with particular emphasis on the crucial role played by language resources and human language technologies. The contents are organized in three topical sections on information extraction; construction of knowledge resources; and semantic indexing, summarization and translation.

Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language

Francesconi E;Montemagni S;
2010

Abstract

The last few years have seen a growing body of research and practice addressing aspects such as automated legal reasoning and argumentation, semantic and cross-language legal information retrieval, document classification, legal drafting, legal knowledge discovery and extraction. This State-of-the-Art Survey contains invited contributions of leading researchers and groups eminently active in the field, which were complemented with selected papers from the Workshop on Semantic Processing of Legal Texts, held in Marrakech, Morocco, in 2008, within the framework of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). These publications mirror the state-of-the-art in linguistic technologies, tools and resources focusing on the automatic extraction of relevant information from legal texts, and the structured organization of this extracted knowledge for legal knowledge representation and scholarly activity, with particular emphasis on the crucial role played by language resources and human language technologies. The contents are organized in three topical sections on information extraction; construction of knowledge resources; and semantic indexing, summarization and translation.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
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 Francesconi E it
dc.authority.people Montemagni S it
dc.authority.people Peters W it
dc.authority.people Tiscornia D a cura di it
dc.collection.id.s ecce2d42-ecc8-45a0-b8e8-9b15f5a4488d *
dc.collection.name 03.01 Monografia o trattato scientifico *
dc.contributor.appartenenza Istituto di Informatica Giuridica e Sistemi Giudiziari - IGSG *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.contributor.appartenenza.mi 1108 *
dc.date.accessioned 2024/02/19 00:04:54 -
dc.date.available 2024/02/19 00:04:54 -
dc.date.issued 2010 -
dc.description.abstract The last few years have seen a growing body of research and practice addressing aspects such as automated legal reasoning and argumentation, semantic and cross-language legal information retrieval, document classification, legal drafting, legal knowledge discovery and extraction. This State-of-the-Art Survey contains invited contributions of leading researchers and groups eminently active in the field, which were complemented with selected papers from the Workshop on Semantic Processing of Legal Texts, held in Marrakech, Morocco, in 2008, within the framework of the Sixth International Conference on Language Resources and Evaluation (LREC 2008). These publications mirror the state-of-the-art in linguistic technologies, tools and resources focusing on the automatic extraction of relevant information from legal texts, and the structured organization of this extracted knowledge for legal knowledge representation and scholarly activity, with particular emphasis on the crucial role played by language resources and human language technologies. The contents are organized in three topical sections on information extraction; construction of knowledge resources; and semantic indexing, summarization and translation. -
dc.description.affiliations CNR-ITTIG Firenze, CNR-ILC Pisa, University of Sheffield, Department of Computer Science, UK -
dc.description.allpeople Francesconi E.; Montemagni S.; Peters W.; Tiscornia D. a cura di -
dc.description.allpeopleoriginal Francesconi E., Montemagni S., Peters W., Tiscornia D. (a cura di) -
dc.description.fulltext none en
dc.description.numberofauthors 3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/154374 -
dc.subject.keywords Legal Text Processing, Ontology Learning, Information Extraction -
dc.subject.singlekeyword Legal Text Processing *
dc.subject.singlekeyword Ontology Learning *
dc.subject.singlekeyword Information Extraction *
dc.title Semantic Processing of Legal Texts: Where the Language of Law Meets the Law of Language en
dc.type.driver info:eu-repo/semantics/book -
dc.type.full 03 Libro::03.01 Monografia o trattato scientifico it
dc.type.miur 276 -
dc.ugov.descaux1 170395 -
iris.orcid.lastModifiedDate 2024/03/02 04:39:47 *
iris.orcid.lastModifiedMillisecond 1709350787789 *
iris.scopus.extIssued 2010 -
iris.scopus.extTitle Semantic Processing of Legal Texts - Where the Language of Law Meets the Law of Language -
iris.sitodocente.maxattempts 1 -
Appare nelle tipologie: 03.01 Monografia o trattato scientifico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/154374
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