Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples

This paper presents an evaluation of an ensemble–based system that participated in the English and Spanish lexical sample tasks of Senseval-2. The system combines decision trees of unigrams, bigrams, and co–occurrences into a single classifier. The analysis is extended to include the Senseval-1 data.