Paper: A Simple Approach To Building Ensembles Of Naive Bayesian Classifiers For Word Sense Disambiguation

ACL ID A00-2009
Title A Simple Approach To Building Ensembles Of Naive Bayesian Classifiers For Word Sense Disambiguation
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

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 disam- biguating the widely studied nouns line and interest show that such an ensemble achieves accuracy rival- ing the best previously published results.