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

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

2002-05-27

arxiv.org/abs/cs/0205067v1

Computer Science

Computation and Language

Appears in the Proceedings of the ACL-02 Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, July 1

Scientific paper

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.

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