Adapting Decision Trees for Learning Selectional Restrictions
Sean R. Szumlanski, Fernando Gómez · 2008
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. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.