Learning methods for combining linguistic indicators to classify verbs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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

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