Noun Classification from Predicate-Argument Structures

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.

• Type: Conference
• Year: 1990
• Where: ACL
• Authors: Donald Hindle
• Keywords: ACL 1990, ACL 2007, Distributional Hypothesis, Large Text Corpus, Nouns