In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally similar" terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable lexico-syntactic patterns. This paper focuses on the definition of the patterns, on the measures used to assess the reliability of the suggested specific semantic relation and on the evaluation of the implemented system.

An unsupervised approach for semantic relation interpretation

Giovannetti E
2010

Abstract

In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally similar" terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable lexico-syntactic patterns. This paper focuses on the definition of the patterns, on the measures used to assess the reliability of the suggested specific semantic relation and on the evaluation of the implemented system.
Campo DC Valore Lingua
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Giovannetti E 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 20:07:14 -
dc.date.available 2024/02/19 20:07:14 -
dc.date.issued 2010 -
dc.description.abstracteng In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally similar" terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable lexico-syntactic patterns. This paper focuses on the definition of the patterns, on the measures used to assess the reliability of the suggested specific semantic relation and on the evaluation of the implemented system. -
dc.description.affiliations ILC-CNR, Pisa -
dc.description.allpeople Giovannetti E. -
dc.description.allpeopleoriginal Giovannetti E. -
dc.description.fulltext none en
dc.description.numberofauthors 1 -
dc.identifier.isbn 2-9517408-6-7 -
dc.identifier.scopus 2-s2.0-84977674675 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/65164 -
dc.publisher.country FRA -
dc.publisher.name European language resources association (ELRA) -
dc.publisher.place Paris -
dc.relation.alleditors Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias -
dc.relation.conferencedate 19-21 maggio 2010 -
dc.relation.conferencename Seventh International Conference on Language Resources and Evaluation -
dc.relation.conferenceplace Valletta, Malta -
dc.relation.firstpage 3811 -
dc.relation.ispartofbook Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10) -
dc.relation.lastpage 3816 -
dc.subject.keywords Information Extra -
dc.subject.keywords Information Retrieval -
dc.subject.keywords Knowledge Representation -
dc.subject.keywords Ontologies -
dc.subject.singlekeyword Information Extra *
dc.subject.singlekeyword Information Retrieval *
dc.subject.singlekeyword Knowledge Representation *
dc.subject.singlekeyword Ontologies *
dc.title An unsupervised approach for semantic relation interpretation 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.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 84798 -
iris.orcid.lastModifiedDate 2024/06/12 10:17:23 *
iris.orcid.lastModifiedMillisecond 1718180243361 *
iris.scopus.extIssued 2010 -
iris.scopus.extTitle An unsupervised approach for semantic relation interpretation -
iris.scopus.ideLinkStatusDate 2024/06/12 10:17:23 *
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scopus.category 3304 *
scopus.category 1203 *
scopus.category 3310 *
scopus.category 3309 *
scopus.contributor.affiliation Istituto di Linguistica Computazionale - CNR -
scopus.contributor.afid 60008941 -
scopus.contributor.auid 55604835100 -
scopus.contributor.country Italy -
scopus.contributor.dptid -
scopus.contributor.name Emiliano -
scopus.contributor.subaffiliation -
scopus.contributor.surname Giovannetti -
scopus.date.issued 2010 *
scopus.description.abstracteng In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally similar" terms, possibly involved in a semantic relation. To validate and label the anonymous relations holding between the terms in input, the candidate pairs of terms are looked for on the Web in the context of reliable lexico-syntactic patterns. This paper focuses on the definition of the patterns, on the measures used to assess the reliability of the suggested specific semantic relation and on the evaluation of the implemented system. *
scopus.description.allpeopleoriginal Giovannetti E. *
scopus.differences scopus.relation.conferencename *
scopus.differences scopus.relation.conferencedate *
scopus.differences scopus.identifier.isbn *
scopus.differences scopus.relation.conferenceplace *
scopus.differences scopus.language.iso *
scopus.document.type cp *
scopus.document.types cp *
scopus.identifier.isbn 9782951740860 *
scopus.identifier.pui 619603137 *
scopus.identifier.scopus 2-s2.0-84977674675 *
scopus.journal.sourceid 21100842263 *
scopus.language.iso eng *
scopus.publisher.name European Language Resources Association (ELRA) *
scopus.relation.conferencedate 2010 *
scopus.relation.conferencename 7th International Conference on Language Resources and Evaluation, LREC 2010 *
scopus.relation.conferenceplace Mediterranean Conference Centre, mlt *
scopus.relation.firstpage 3811 *
scopus.relation.lastpage 3816 *
scopus.title An unsupervised approach for semantic relation interpretation *
scopus.titleeng An unsupervised approach for semantic relation interpretation *
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/20.500.14243/65164
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