SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain (Contributo in atti di convegno)

Type
Label
  • SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain (Contributo in atti di convegno) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Agirre Eneko, Lopez De Lacalle Oier, Fellbaum Christiane, Marchetti Andrea, Toral Antonio, Vossen Piek (2009)
    SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
    in Workshop on Semantic Evaluations: Recent Achievements and Future Directions, Boulder, Colorado, USA, 4 giugno 2009
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Agirre Eneko, Lopez De Lacalle Oier, Fellbaum Christiane, Marchetti Andrea, Toral Antonio, Vossen Piek (literal)
Pagina inizio
  • 123 (literal)
Pagina fine
  • 128 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceeding DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: NAACL HLT 2009 - Workshop on Semantic Evaluations: Recent Achievements and Future Directions (Boulder, Colorado, USA, 4 June 2009). Proceedings, pp. 123 - 128. Eneko Agirre, Lluiss Marquez, Richard Wicentowski (eds.). Association for Computational Linguistics, 2009. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: Domain portability and adaptation of NLP components and Word Sense Disambiguation systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledgebased WSD systems. Unfortunately, all existing evaluation datasets for specific domains are lexical-sample corpora. With this paper we want to motivate the creation of an allwords test dataset for WSD on the environment domain in several languages, and present the overall design of this SemEval task. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of the Basque Country, Donostia, Basque Country, Spain, Department of Computer Science Princeton University (USA), CNR-IIT, Pisa, CNR-ILC, Pisa, Faculteit der Letteren, Vrije Universiteit Amsterdam, Amsterdam, Netherlands (literal)
Titolo
  • SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-932432-31-2 (literal)
Abstract
  • Domain portability and adaptation of NLP components and Word Sense Disambiguation systems present new challenges. The difficulties found by supervised systems to adapt might change the way we assess the strengths and weaknesses of supervised and knowledgebased WSD systems. Unfortunately, all existing evaluation datasets for specific domains are lexical-sample corpora. With this paper we want to motivate the creation of an allwords test dataset for WSD on the environment domain in several languages, and present the overall design of this SemEval task. (literal)
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