July 21, 2004

Some experiments with a Naive Bayes WSD system

Deniz Yuret. In Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text

Abstract: 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 performance.

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