arXiv · cmp-lg/9709002
Learning Methods for Combining Linguistic Indicators to Classify Verbs
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.
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Eric V. Siegel. 1997-09-13. Learning Methods for Combining Linguistic Indicators to Classify Verbs. https://arxiv.org/abs/cmp-lg/9709002
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