Learning Methods for Combining Linguistic Indicators to Classify Verbs
cmp-lg
2008-02-03 v2 Computation and Language
Abstract
Fourteen linguistically-motivated numerical indicators are evaluated for their ability to categorize verbs as either states or events. The values for each indicator are computed automatically across a corpus of text. To improve classification performance, machine learning techniques are employed to combine multiple indicators. Three machine learning methods are compared for this task: decision tree induction, a genetic algorithm, and log-linear regression.
Cite
@article{arxiv.cmp-lg/9709002,
title = {Learning Methods for Combining Linguistic Indicators to Classify Verbs},
author = {Eric V. Siegel},
journal= {arXiv preprint arXiv:cmp-lg/9709002},
year = {2008}
}
Comments
7 pages, Latex, in the Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, Providence, Rhode Island, 1997