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» Similarity-based Word Sense Disambiguation
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EMNLP
2007
14 years 11 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»
14 years 11 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
COLING
2008
14 years 11 months ago
OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation
Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date...
Liang-Chih Yu, Chung-Hsien Wu, Eduard H. Hovy
ECAI
2000
Springer
15 years 2 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
PAMI
2010
133views more  PAMI 2010»
14 years 8 months ago
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
— Word sense disambiguation (WSD), the task of identifying the intended meanings (senses) of words in context, has been a long-standing research objective for natural language pr...
Roberto Navigli, Mirella Lapata