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Connectionist Taxonomy Learning

Frey, Miloslaw (2004) Connectionist Taxonomy Learning. (Unpublished)

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Abstract

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.

Item Type:Other
Subjects:Computer Science > Language
Linguistics > Semantics
Computer Science > Machine Learning
Computer Science > Neural Nets
ID Code:3943
Deposited By:Frey, Miloslaw
Deposited On:20 Nov 2004
Last Modified:12 Sep 2007 17:54

References in Article

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A. Gomez-Perez and D. Manzano-Macho. A Survey of Ontology Learning Methods and Techniques. Deliverable 1.5, OntoWeb Project, 2003.

J. L. McClelland and D. E. Rumelhart. An interactive activation model of context effects in letter perception: Part 1. An account of basic findings. Psychological Review, 88:375-407, 1981.

E. Rosch. Family resemblance: Studies in the internal structure of categories. Cognitive Psychology, 7:573-605, 1975.

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