Adapting Decision Trees for Learning Selectional Restrictions

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This paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships. The selectional restrictions are inferred from an adaptation of decision tree induction, and are bound to the syntactic relations that realize them as part of a move toward automated construction of verb predicates.