A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms

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dc.creatorBorge, J.
dc.creatorArenas, A.
dc.date2008-12-16
dc.date.accessioned2026-07-07T12:13:20Z
dc.date.available2026-07-07T12:13:20Z
dc.descriptionTwo 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.
dc.description9 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0812.3070
dc.identifierhttp://arxiv.org/abs/0812.3070
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210811
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectData Analysis, Statistics and Probability
dc.subjectPhysics and Society
dc.titleA Computational Model to Disentangle Semantic Information Embedded in Word Association Norms
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