Title

Adapting Decision Trees For Learning Selectional Restrictions

Abstract

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.

Publication Date

11-17-2008

Publication Title

Proceedings of the 21th International Florida Artificial Intelligence Research Society Conference, FLAIRS-21

Number of Pages

231-232

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

55849121520 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/55849121520

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