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dc.contributor.authorMàrquez Villodre, Lluís
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-11-09T15:49:55Z
dc.date.available2016-11-09T15:49:55Z
dc.date.issued2000-07
dc.identifier.citationMarquez, L. "Machine learning and natural language processing". 2000.
dc.identifier.urihttp://hdl.handle.net/2117/96428
dc.description.abstractIn this report, some collaborative work between the fields of Machine Learning (ML) and Natural Language Processing (NLP) is presented. The document is structured in two parts. The first part includes a superficial but comprehensive survey covering the state-of-the-art of machine learning techniques applied to natural language learning tasks. In the second part, a particular problem, namely Word Sense Disambiguation (WSD), is studied in more detail. In doing so, four algorithms for supervised learning, which belong to different families, are compared in a benchmark corpus for the WSD task. Both qualitative and quantitative conclusions are drawn.
dc.format.extent53 p.
dc.language.isoeng
dc.relation.ispartofseriesLSI-00-45-R
dc.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.otherMachine learning
dc.subject.otherML
dc.subject.otherNatural language processing
dc.subject.otherNLP
dc.subject.otherWord sense disambiguation
dc.subject.otherWSD
dc.subject.otherSupervised learning
dc.titleMachine learning and natural language processing
dc.typeExternal research report
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.rights.accessOpen Access
local.identifier.drac1845625
dc.description.versionPostprint (published version)
local.citation.authorMarquez, L.


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