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/9408007Markdown
[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/9408007BibTeX
@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/}
}