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An efficient method for estimating semantic similarity based on feature overlap: Reliability and validity of semantic feature ratings
Authors:William S. Maki  Marissa Krimsky  Sol Muñoz
Affiliation:(1) Department of Psychology, Texas Tech University, 79409 Lubbock, TX
Abstract:Two studies were conducted in which human participants rated pairs of words according to the perceived degree to which the words’ referents shared semantic features. The participants found the task intuitive, simple, and quick to complete. The ratings were reliable and valid. Interrater and interstudy correlations were high, and ratings were good predictors of known feature overlap values obtained from existing semantic feature norms.
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