Emergent Linguistic Rules from Inducing Decision Trees: Disambiguating   Discourse Clue Words
  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. 
Eric V. Siegel and Kathleen R. McKeown (Columbia University)