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» Smoothing and Word Sense Disambiguation
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CICLING
2009
Springer
14 years 2 months ago
Semi-supervised Word Sense Disambiguation Using the Web as Corpus
Abstract. As any other classification task, Word Sense Disambiguation requires a large number of training examples. These examples, which are easily obtained for most of the tasks,...
Rafael Guzmán-Cabrera, Paolo Rosso, Manuel ...
COLING
1992
13 years 8 months ago
Word-Sense Disambiguation Using Statistical Models of Roget's Categories Trained on Large Corpora
This paper describes a program that disambignates English word senses in unrestricted text using statistical models of the major Roget's Thesaurus categories. Roget's ca...
David Yarowsky
COLING
2000
13 years 8 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
EMNLP
2007
13 years 8 months ago
A Topic Model for Word Sense Disambiguation
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
LREC
2010
129views Education» more  LREC 2010»
13 years 8 months ago
Evaluating the Impact of Some Linguistic Information on the Performances of a Similarity-based and Translation-oriented Word-Sen
In this article, we present an experiment of linguistic parameter tuning in the representation of the semantic space of polysemous words. We evaluate quantitatively the influence ...
Myriam Rakho, Matthieu Constant