The paper focuses on the automatic extraction of domain knowledge from Italian legal texts and presents a fully-implemented ontology learning system (T2K, Text-2-Knowledge) that includes a battery of tools for Natural Language Processing, statistical text analysis and machine learning. Evaluated results show the considerable potential of systems like T2K, exploiting an incremental interleaving of NLP and machine learning techniques for accurate large-scale semi-automatic extraction and structuring of domain-specific knowledge.

Dal testo alla conoscenza e ritorno: estrazione terminologica e annotazione semantica di basi documentali di dominio.

Dell'Orletta Felice;Marchi Simone;Montemagni Simonetta;Pirrelli Vito;Venturi Giulia
2008

Abstract

The paper focuses on the automatic extraction of domain knowledge from Italian legal texts and presents a fully-implemented ontology learning system (T2K, Text-2-Knowledge) that includes a battery of tools for Natural Language Processing, statistical text analysis and machine learning. Evaluated results show the considerable potential of systems like T2K, exploiting an incremental interleaving of NLP and machine learning techniques for accurate large-scale semi-automatic extraction and structuring of domain-specific knowledge.
Campo DC Valore Lingua
dc.authority.ancejournal AIDA INFORMAZIONI -
dc.authority.ancejournal AIDA INFORMAZIONI (ONLINE) -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Dell'Orletta Felice it
dc.authority.people Lenci Alessando it
dc.authority.people Marchi Simone it
dc.authority.people Montemagni Simonetta it
dc.authority.people Pirrelli Vito it
dc.authority.people Venturi Giulia it
dc.collection.id.s 71c7200a-7c5f-4e83-8d57-d3d2ba88f40d *
dc.collection.name 04.01 Contributo in Atti di convegno *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/19 19:40:32 -
dc.date.available 2024/02/19 19:40:32 -
dc.date.issued 2008 -
dc.description.abstracteng The paper focuses on the automatic extraction of domain knowledge from Italian legal texts and presents a fully-implemented ontology learning system (T2K, Text-2-Knowledge) that includes a battery of tools for Natural Language Processing, statistical text analysis and machine learning. Evaluated results show the considerable potential of systems like T2K, exploiting an incremental interleaving of NLP and machine learning techniques for accurate large-scale semi-automatic extraction and structuring of domain-specific knowledge. -
dc.description.affiliations Lenci Alessandro: Università di Pisa -
dc.description.allpeople Dell'Orletta, Felice; Lenci, Alessando; Marchi, Simone; Montemagni, Simonetta; Pirrelli, Vito; Venturi, Giulia -
dc.description.allpeopleoriginal Dell'Orletta Felice; Lenci Alessando; Marchi Simone; Montemagni Simonetta; Pirrelli Vito; Venturi Giulia -
dc.description.fulltext none en
dc.description.numberofauthors 6 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/65083 -
dc.identifier.url http://www.assiterm91.it/wp-content/uploads/2010/11/Convegno-2008.pdf -
dc.language.iso ita -
dc.relation.conferencedate 5-7/06/2008 -
dc.relation.conferencename Atti del Convegno Nazionale Ass.I.Term -
dc.relation.conferenceplace Arcavacata di Rende (CS) -
dc.relation.firstpage 197 -
dc.relation.ispartofbook Terminologia analisi testuale e documentazione nella città digitale -
dc.relation.lastpage 218 -
dc.relation.numberofpages 22 -
dc.relation.volume Anno 26, numero 1-2 -
dc.subject.keywords Natural Language Processing -
dc.subject.keywords Machine Learning -
dc.subject.keywords Knowledge extraction from texts -
dc.subject.keywords Ontology learning -
dc.subject.keywords Legal ontologies -
dc.subject.singlekeyword Natural Language Processing *
dc.subject.singlekeyword Machine Learning *
dc.subject.singlekeyword Knowledge extraction from texts *
dc.subject.singlekeyword Ontology learning *
dc.subject.singlekeyword Legal ontologies *
dc.title Dal testo alla conoscenza e ritorno: estrazione terminologica e annotazione semantica di basi documentali di dominio. en
dc.type.driver info:eu-repo/semantics/conferenceObject -
dc.type.full 04 Contributo in convegno::04.01 Contributo in Atti di convegno it
dc.type.miur 273 -
dc.ugov.descaux1 84707 -
iris.orcid.lastModifiedDate 2024/04/04 17:14:01 *
iris.orcid.lastModifiedMillisecond 1712243641396 *
iris.sitodocente.maxattempts 2 -
Appare nelle tipologie: 04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/65083
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