- 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.",
