Learning methods for combining linguistic indicators to classify verbs
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{siegel:1997:lmclicv,
-
author = "Eric V. Siegel",
-
title = "Learning methods for combining linguistic indicators
to classify verbs",
-
booktitle = "Proceedings of the Second Conference on Empirical
Methods in Natural Language Processing",
-
year = "1997",
-
address = "Providence, RI, USA",
-
month = aug,
-
keywords = "genetic algorithms, genetic programming",
-
URL = "http://www.cs.columbia.edu/~evs/papers/stativity.ps",
-
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.",
- }
Genetic Programming entries for
Eric Siegel
Citations