title: Connectionist Taxonomy Learning
creator: Frey, Miloslaw
subject: Language
subject: Semantics
subject: Machine Learning
subject: Neural Nets
description: The paper at hand describes an approach to automatise the creation of a class taxonomy. Information about objects, e.g. "a tank is armored and moves by track", but no prior knowledge about taxonomy structure is presented to a connectionist system which organizes itself by means of activation spreading (McClelland and Rumelhart, 1981) and weight adjustments. The resulting connectionist network has a form of a taxonomy sought-after.
date: 2004
type: Other
type: NonPeerReviewed
format: application/pdf
identifier: http://cogprints.org/3943/1/categorization.pdf
identifier:   Frey, Miloslaw  (2004) Connectionist Taxonomy Learning.     (Unpublished)  
relation: http://cogprints.org/3943/