Inferring a Probabilistic Model of Semantic Memory from Word Association Norms

  title={Inferring a Probabilistic Model of Semantic Memory from Word Association Norms},
  author={Mark Andrews and David Vinson},
In this paper, we introduce a method of data-analysis for word association norms. The defining characteristic of this method is that is based upon the inference of a probabilistic generative model of word-associations. The inferred model can in principle provide a clear and intuitive representation of the semantic knowledge inherent in word association data, facilitate an understanding of the process by which word associations are generated, extrapolate beyond the observed data to make… CONTINUE READING

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Publications referenced by this paper.
Showing 1-7 of 7 references

On the structure of associative meaning.

Psychological review • 1962
View 7 Excerpts
Highly Influenced

Topics in semantic representation

D. Nelson, C. McEvoy, T. Schreiber

The university of south florida word association , rhyme and word fragment norms

H. L. Roediger, K. B. McDermott
Behavior Research Methods , Instruments , & Computers • 2004

Psychometric experiments

F. Press. Galton
Brain, 2, • 1879
View 1 Excerpt

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