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» Word Sense Disambiguation using Conceptual Density
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EMNLP
2004
14 years 11 months ago
Unsupervised Domain Relevance Estimation for Word Sense Disambiguation
This paper presents Domain Relevance Estimation (DRE), a fully unsupervised text categorization technique based on the statistical estimation of the relevance of a text with respe...
Alfio Massimiliano Gliozzo, Bernardo Magnini, Carl...
CICLING
2003
Springer
15 years 2 months ago
An Evaluation of a Lexicographer's Workbench Incorporating Word Sense Disambiguation
NLPsystem developers and corpus lexicographers would both bene t from a tool for nding and organizing the distinctive patterns of use of words in texts. Such a tool would be an ass...
Adam Kilgarriff, Rob Koeling
ECAI
2000
Springer
15 years 1 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...
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
202views Education» more  LREC 2010»
14 years 11 months ago
Can Syntactic and Logical Graphs help Word Sense Disambiguation?
This paper presents a word sense disambiguation (WSD) approach based on syntactic and logical representations. The objective here is to run a number of experiments to compare stan...
Amal Zouaq, Michel Gagnon, Benoît Ozell