Paper: Noun Classification From Predicate-Argument Structures

ACL ID P90-1034
Title Noun Classification From Predicate-Argument Structures
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1990
Authors

A method of determining the similarity of nouns on the basis of a metric derived from the distribution of subject, verb and object in a large text corpus is described. The resulting quasi-semantic classification of nouns demonstrates the plausibility of the distributional hypothesis, and has potential application to a variety of tasks, including automatic indexing, resolving nominal compounds, and determining the scope of modification.