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cs.CL2000
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes a set of comparative experiments, including cross-corpus evaluation, between five alternative algorithms for supervised Word Sense Disambiguation (WSD), namely…
cs.CL2000
Naive Bayes and Exemplar-Based approaches to Word Sense Disambiguation Revisited
Gerard Escudero, Lluis Marquez, German Rigau
This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar-based classification, on the Word Sense Disambigua…
cs.CL2000
Boosting Applied to Word Sense Disambiguation
Gerard Escudero, Lluis Marquez, German Rigau
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polysemous…