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Computational semantics: an introduction to artificial intelligence and natural language comprehension
Eugene Charniak & Yorick Wilks (eds.)
New York: distributors for the U.S.A. and Canada, Elsevier/North Holland (1976)
Abstract
Linguistics. Artificial intelligence. Related fields. Computation.
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Inference and knowledge.Eugene Charniak - 1976 - In Eugene Charniak & Yorick Wilks (eds.), Computational semantics: an introduction to artificial intelligence and natural language comprehension. New York: distributors for the U.S.A. and Canada, Elsevier/North Holland. pp. 1--21.
Inference and knowledge I & II.E. Chamiak - 1976 - In Eugene Charniak & Yorick Wilks (eds.), Computational semantics: an introduction to artificial intelligence and natural language comprehension. New York: distributors for the U.S.A. and Canada, Elsevier/North Holland. pp. 1--21.
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Citations of this work
From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic binding using temporal synchrony.Lokendra Shastri & Venkat Ajjanagadde - 1993 - Behavioral and Brain Sciences 16 (3):417-51.
Distributing structure over time.John E. Hummel & Keith J. Holyoak - 1993 - Behavioral and Brain Sciences 16 (3):464-464.
Framed PAINTING: The Representation of a Common Sense Knowledge Fragment.Eugene Charniak - 1977 - Cognitive Science 1 (4):235-264.
From symbols to neurons: Are we there yet?Garrison W. Cottrell - 1993 - Behavioral and Brain Sciences 16 (3):454-454.
Making a middling mousetrap.Michael R. W. Dawson & Istvan Berkeley - 1993 - Behavioral and Brain Sciences 16 (3):454-455.
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