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

Abstract

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)
View Slides

Topics

6 Figures and Tables

Slides referencing similar topics