Work

Evaluating the Contribution of Intra-Linguistic and Extra-Linguistic Data to the Structure of Human Semantic Representations

Year: 2007

Type: article

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.

Source: eScholarship (California Digital Library)

Authors: Mark Andrews, Gabriella Vigliocco, David Vinson

Institution: University College London

Language: English

Topic: Categorization, perception, and language

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W10816

FWCI: 0.416

Cites: 8

Cited by: 3

Related to: 20