Accession Number:

ADA453819

Title:

Measuring Verb Similarity

Descriptive Note:

Corporate Author:

MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES

Personal Author(s):

Report Date:

2000-06-01

Pagination or Media Count:

8.0

Abstract:

The way we model semantic similarity is closely tied to our understanding of linguistic representations. We present several models of semantic similarity, based on differing rep- resentational assumptions, and investigate their properties via comparison with human ratings of verb similarity. The results offer insight into the bases for human similarity judgments and provide a testbed for further investigation of the interactions among syntactic properties, semantic structure, and semantic content.

Subject Categories:

  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE