A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms
Computation and Language
2008-12-17 v1 Artificial Intelligence
Data Analysis, Statistics and Probability
Physics and Society
Abstract
Two well-known databases of semantic relationships between pairs of words used in psycholinguistics, feature-based and association-based, are studied as complex networks. We propose an algorithm to disentangle feature based relationships from free association semantic networks. The algorithm uses the rich topology of the free association semantic network to produce a new set of relationships between words similar to those observed in feature production norms.
Cite
@article{arxiv.0812.3070,
title = {A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms},
author = {J. Borge and A. Arenas},
journal= {arXiv preprint arXiv:0812.3070},
year = {2008}
}
Comments
9 pages, 3 figures