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Learning methods for combining linguistic indicators to classify verbs

Siegel, Eric V.

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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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of the Second Conference on Empirical Methods in Natural Language Processing
Published Here
April 29, 2013