Summary: Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic
Data to the Structure of Human Semantic Representations
Mark Andrews (m.andrews@ucl.ac.uk)
Gabriella Vigliocco (g.vigliocco@ucl.ac.uk)
David Vinson (d.vinson@ucl.ac.uk)
Department of Psychology, University College London,
26 Bedford Way
London, WC1H 0AP
United Kingdom
Abstract
We describe Bayesian models that learn semantic rep-
resentations from either extra-linguistic data or intra-
linguistic data, or from both in combination. We evalu-
ate the validity of these models using three human-based
measures of semantic similarity. The results provide
strong evidence for the hypothesis that human semantic
representations are the product of the statistical combi-
nation of extra- and intra-linguistic sources of data.
Introduction
For the purposes of this paper, we use the term seman-

Source: Andrews, Mark W. - Department of Cognitive, Perceptual and Brain Sciences, University College London
Vigliocco, Gabriella - Department of Psychology, University College London

Collections: Biology and Medicine; Computer Technologies and Information Sciences