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Understanding natural language for spacecraft sequencingThe paper describes a natural language understanding system, START, that translates English text into a knowledge base. The understanding and the generating modules of START share a Grammar which is built upon reversible transformations. Users can retrieve information by querying the knowledge base in English; the system then produces an English response. START can be easily adapted to many different domains. One such domain is spacecraft sequencing. A high-level overview of sequencing as it is practiced at JPL is presented in the paper, and three areas within this activity are identified for potential application of the START system. Examples are given of an actual dialog with START based on simulated data for the Mars Observer mission.
Document ID
19880037010
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Katz, Boris
(MIT Cambridge, MA, United States)
Brooks, Robert N., Jr.
(California Institute of Technology Jet Propulsion Laboratory, Pasadena, United States)
Date Acquired
August 13, 2013
Publication Date
October 1, 1987
Publication Information
Volume: 40
ISSN: 0007-084X
Subject Category
Computer Programming And Software
Accession Number
88A24237
Funding Number(s)
CONTRACT_GRANT: N0014-85-K-0124
Distribution Limits
Public
Copyright
Other

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