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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.'
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creators_name:
- family: Frey
given: Miloslaw
honourific: ''
lineage: ''
date: 2004
date_type: published
datestamp: 2004-11-20
department: ~
dir: disk0/00/00/39/43
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eprint_status: archive
eprintid: 3943
fileinfo: /style/images/fileicons/application_pdf.png;/3943/1/categorization.pdf
full_text_status: public
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ispublished: unpub
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keywords: ~
lastmod: 2011-03-11 08:55:44
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metadata_visibility: show
note: ~
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pubdom: FALSE
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referencetext: |-
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.
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:54:30
subjects:
- comp-sci-lang
- ling-sem
- comp-sci-mach-learn
- comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
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thesistype: ~
title: Connectionist Taxonomy Learning
type: other
userid: 2841
volume: ~