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.