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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
ECAI
2000
Springer
13 years 11 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...
LREC
2010
129views Education» more  LREC 2010»
13 years 9 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
LREC
2010
202views Education» more  LREC 2010»
13 years 9 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
EMNLP
2008
13 years 9 months ago
Word Sense Disambiguation Using OntoNotes: An Empirical Study
The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD ex...
Zhi Zhong, Hwee Tou Ng, Yee Seng Chan