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dc.contributor.authorEscudero Bakx, Gerard
dc.contributor.authorMàrquez Villodre, Lluís
dc.contributor.authorRigau Claramunt, German
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-11-09T12:05:52Z
dc.date.available2016-11-09T12:05:52Z
dc.date.issued2000-05
dc.identifier.citationEscudero, G., Marquez, L., Rigau, G. "On the portability and tuning of supervised word sense disambiguation systems". 2000.
dc.identifier.urihttp://hdl.handle.net/2117/95946
dc.description.abstractThis report describes a set of experiments carried out to explore the portability of alternative supervised Word Sense Disambiguation algorithms. The aim of the work is threefold: firstly, studying the performance of these algorithms when tested on a different corpus from that they were trained on; secondly, exploring their ability to tune to new domains, and thirdly, demonstrating empirically that the LazyBoosting algorithm outperforms state-of-the-art supervised WSD algorithms in both previous situations.
dc.format.extent18 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-00-30-R
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.otherWord sense disambiguation
dc.subject.otherWSD
dc.subject.otherLazyBoosting algorithm
dc.subject.otherMachine learning
dc.subject.otherNatural language processing
dc.subject.otherPortability and tuning of NLP systems
dc.titleOn the portability and tuning of supervised word sense disambiguation systems
dc.typeExternal research report
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.rights.accessOpen Access
drac.iddocument1845619
dc.description.versionPostprint (published version)
upcommons.citation.authorEscudero, G., Marquez, L., Rigau, G.
upcommons.citation.publishedtrue


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