Learning Methods for Combining Linguistic Indicators to Classify Verbs
<|reference_start|>Learning Methods for Combining Linguistic Indicators to Classify Verbs: 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.<|reference_end|>
@article{siegel1997learning,
    title={Learning Methods for Combining Linguistic Indicators to Classify Verbs},
    author={Eric V. Siegel},
    journal={arXiv preprint arXiv:cmp-lg/9709002},
    year={1997},
    archivePrefix={arXiv},
    eprint={cmp-lg/9709002},
    primaryClass={cmp-lg cs.CL}
}