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Inferring heuristic classification hierarchies from natural language inputA methodology for inferring hierarchies representing heuristic knowledge about the check out, control, and monitoring sub-system (CCMS) of the space shuttle launch processing system from natural language input is explained. Our method identifies failures explicitly and implicitly described in natural language by domain experts and uses those descriptions to recommend classifications for inclusion in the experts' heuristic hierarchies.
Document ID
19930016790
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hull, Richard (University of Central Florida Orlando, FL, United States)
Gomez, Fernando (University of Central Florida Orlando, FL, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1993
Publication Information
Publication: NASA. Goddard Space Flight Center, The 1993 Goddard Conference on Space Applicati ons of Artificial Intelligence
Subject Category
Cybernetics
Accession Number
93N25979
Funding Number(s)
CONTRACT_GRANT: NAG10-0058
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19930016772Collected WorksThe 1993 Goddard Conference on Space Applications of Artificial Intelligence
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