Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples
Computation and Language
2007-05-23 v1
Abstract
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.
Cite
@article{arxiv.cs/0205067,
title = {Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples},
author = {Ted Pedersen},
journal= {arXiv preprint arXiv:cs/0205067},
year = {2007}
}
Comments
Appears in the Proceedings of the ACL-02 Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, July 11, 2002, Philadelphia, PA