Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (Contributo in atti di convegno)

Type
Label
  • Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Emiliano Giovannetti, Simone Marchi (2011)
    Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text
    in Computational Linguistics Application Conference - CLA 2011, Jachranka, 17-19 ottobre 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Emiliano Giovannetti, Simone Marchi (literal)
Pagina inizio
  • 29 (literal)
Pagina fine
  • 39 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.proceedings2011.cla-conf.info/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the Computational Linguistics-Applications Conference (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Linguistica Computazionale \"A. Zampolli\" - CNR (literal)
Titolo
  • Cross-Language Boosting in Pattern-based Semantic Relation Extraction from Text (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-83-60810-47-7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • K. Jassem, P. Fuglewicz, M. Piasecki, A. Przepi ?orkowski (literal)
Abstract
  • In this work we propose a novel technique called \"Cross-Language Boosting\" (C-LB), aimed at increasing the accuracy of pattern-based semantic relation extraction systems: given a pair of terms expressed in a \"Target Language\" (e.g. in Italian), we can translate the terms in a \"Support Language\" (e.g. in English) and apply the translated term pair to reliable lexico-syntactic patterns expressed in that language to increase the accuracy of the system. Experiments have been conducted by comparing the results obtained by the SemRelEx system, a hybrid unsupervised system for semantic relation extraction from texts, with and without the support of the C-LB technique, applied to a set of candidate semantically related term pairs automatically extracted from a corpus in the History of Art domain. (literal)
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