Measuring Verb Similarity

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2000
Accession Number
ADA453819

Entities

People

  • Mona Diab
  • Philip Resnik

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Computers
  • Contracts
  • Information Operations
  • Instructions
  • Judgment
  • Language
  • Maryland
  • Monitoring
  • Ratings
  • Security
  • Standards
  • Universities
  • Words (Language)

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.