Emergent Linguistic Rules from Inducing Decision Trees: Disambiguating Discourse Clue Words

Abstract

We apply decision tree induction to the problem of discourse clue word sense disambiguation with a genetic algorithm. The automatic partitioning of the training set which is intrinsic to decision tree induction gives rise to linguistically viable rules.

Cite

Text

Siegel and McKeown. "Emergent Linguistic Rules from Inducing Decision Trees: Disambiguating Discourse Clue Words." AAAI Conference on Artificial Intelligence, 1994. doi:10.48550/arxiv.cmp-lg/9408007

Markdown

[Siegel and McKeown. "Emergent Linguistic Rules from Inducing Decision Trees: Disambiguating Discourse Clue Words." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/siegel1994aaai-emergent/) doi:10.48550/arxiv.cmp-lg/9408007

BibTeX

@inproceedings{siegel1994aaai-emergent,
  title     = {{Emergent Linguistic Rules from Inducing Decision Trees: Disambiguating Discourse Clue Words}},
  author    = {Siegel, Eric V. and McKeown, Kathleen R.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1994},
  pages     = {820-826},
  doi       = {10.48550/arxiv.cmp-lg/9408007},
  url       = {https://mlanthology.org/aaai/1994/siegel1994aaai-emergent/}
}