A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation


This paper presents a corpus-based approach to word sense disambiguation that builds an ensemble of Naive Bayesian classifiers, each of which is based on lexical features that represent co-occurring words in varying sized windows of context. Despite the simplicity of this approach, empirical results disambiguating the widely studied nouns line and interest… (More)
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