Emergent linguistic rules from inducing decision trees: disambiguating discourse clue words

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{siegel2,
  key =          "Siegel",
  author =       "E. V. Siegel and K. R. McKeown",
  title =        "Emergent linguistic rules from inducing decision
                 trees: disambiguating discourse clue words",
  year =         "1994",
  booktitle =    "Proceedings of the Twelfth National Conference on
                 Artificial Intelligence",
  month =        jul,
  publisher =    "AAAI Press",
  address =      "Menlo Park, CA, USA",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.columbia.edu/~evs/papers/aaai94.ps",
  notes =        "

                 report on the same work in which decision tree choice
                 point feature sets are bitstrings, but overall tree is
                 a tree. Subtree swapping and onepoint bitstring
                 crossovers are both used. See also
                 \cite{kinnear:siegel}",
  abstract =     "We apply decision tree induction to the problem of
                 discourse clue word sense disambiguation. The automatic
                 partitioning of the training set which is intrinsic to
                 decision tree induction gives rise to linguistically
                 viable rules.",
}

Genetic Programming entries for Eric Siegel Kathleen R McKeown

Citations