Some Experiments with a Naive Bayes WSD System
Deniz Yuret (2004)
Experiments with a Naive Bayes WSD System. In Proceedings of the
ACL-04 Senseval-3 Workshop
This document describes the architecture of a WSD system that
participated in the SENSEVAL-3 English all words evaluation exercise.
The system uses two independent statistical models, one based on local
collocations and another based on a bag of words around the target.
The model with the higher confidence provides the final answer for
each instance. Both models use Naive Bayes and supervised training
with different feature sets. The experiments using this system
indicate that the specific smoothing parameters used for Naive Bayes
make a big impact on the performance, smaller context sizes give
better accuracy, and that the bag of words model adds little to the