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

Computer Science – Computation and Language

Scientific paper

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Scientific paper

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.

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