Literature DB >> 16817525

An efficient method for estimating semantic similarity based on feature overlap: reliability and validity of semantic feature ratings.

William S Maki1, Marissa Krimsky, Sol Muñoz.   

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 thetask 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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Year:  2006        PMID: 16817525     DOI: 10.3758/bf03192761

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  5 in total

1.  A common mechanism in verb and noun naming deficits in Alzheimer's patients.

Authors:  Amit Almor; Justin M Aronoff; Maryellen C MacDonald; Laura M Gonnerman; Daniel Kempler; Houri Hintiryan; Unja L Hayes; Sudha Arunachalam; Elaine S Andersen
Journal:  Brain Lang       Date:  2009-08-21       Impact factor: 2.381

2.  Semantic similarity and associated abstractness norms for 630 French word pairs.

Authors:  Dounia Lakhzoum; Marie Izaute; Ludovic Ferrand
Journal:  Behav Res Methods       Date:  2020-10-01

3.  The RK processor: A program for analysing metaphor and word feature-listing data.

Authors:  J Nick Reid; Albert Katz
Journal:  Behav Res Methods       Date:  2021-06-15

4.  A new design of multimedia big data retrieval enabled by deep feature learning and Adaptive Semantic Similarity Function.

Authors:  D Sujatha; M Subramaniam; Chinnanadar Ramachandran Rene Robin
Journal:  Multimed Syst       Date:  2022-02-05       Impact factor: 2.603

5.  Do You Read How I Read? Systematic Individual Differences in Semantic Reliance amongst Normal Readers.

Authors:  Anna M Woollams; Matthew A Lambon Ralph; Gaston Madrid; Karalyn E Patterson
Journal:  Front Psychol       Date:  2016-11-22
  5 in total

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