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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
Summary
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.
- 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.