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Semantic distance norms computed from an electronic dictionary (WordNet).

William S Maki1, Lauren N McKinley, Amber G Thompson

  • 1Department of Psychology, Texas Tech University, Lubbock, TX 79409, USA. bill.maki@ttu.edu

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|January 12, 2005
PubMed
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A new database of semantic distances from WordNet, an electronic dictionary, aids psychological research by providing word pair relatedness measures. This semantic distance is distinct and psychologically functional.

Area of Science:

  • Computational Linguistics
  • Cognitive Science
  • Psychology

Background:

  • WordNet, an electronic lexical database, is crucial for computational and cognitive scientists.
  • Developing methods to compute semantic distances within WordNet is an active area of research.
  • Existing measures of word pair relatedness include associative strength and co-occurrence similarity.

Purpose of the Study:

  • To create a large database of semantic distances between word pairs using WordNet.
  • To evaluate the psychological functionality and distinctiveness of WordNet-derived semantic distance.
  • To facilitate the selection of word pairs for psychological research.

Main Methods:

  • Computed semantic distances for nearly 50,000 word pairs in WordNet.

Related Experiment Videos

  • Collected data on associative strength and similarity based on co-occurrence.
  • Utilized hierarchical clustering analysis to compare knowledge structures.
  • Conducted experiments using human semantic similarity ratings.

    • Main Results:

    • Semantic distance showed weak correlation with associative strength and co-occurrence similarity.
    • Semantic distance correlated more strongly with featural similarity.
    • Hierarchical clustering indicated similar underlying knowledge structures for semantic distance and featural similarity.
    • Human participants could discriminate semantic distance in experiments.

    Conclusions:

    • WordNet-derived semantic distance is a distinct measure of word pair relatedness.
    • Semantic distance is psychologically functional and useful in research.
    • The developed database offers a valuable resource for psychological studies.