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Simple Search
Hits 1 – 16 of 16
1
"Knowledge Representation: Logical, Philosophical, and Computational Foundations. John F. Sowa, Pacific Grove, CA: Brooks/Cole, 2000, XIV+594 pp." [Rezension]
Shapiro, Stuart Charles
In:
Computational linguistics. - Cambridge, Mass. : MIT Press
27 (2001) 2, 286-294
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2
Natural language processing and knowledge representation : language for knowledge and knowledge for language
McRoy, Susan W.
(Mitarb.);
Kruger, Kellyn
(Mitarb.);
Shapiro, Stuart Charles
(Hrsg.). - Menlo Park, Calif. [u.a.] : AAA Press [u.a.], 2000
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UB Frankfurt Linguistik
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3
Understanding language understanding : computational models of reading
Meyer, Bonnie J.F.
(Mitarb.);
Magliano, Joseph P.
(Mitarb.);
Holbrook, Jennifer K.
(Mitarb.). - Cambridge, Mass. [u.a.] : MIT Press, 1999
BLLDB
UB Frankfurt Linguistik
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4
Indicators and quasi-indicators
Kapitan, Tomis
(Mitarb.);
Corazza, Eros
(Mitarb.);
Rapaport, William J.
(Mitarb.)...
In:
Thought, language, and ontology. - Dordrecht [u.a.] : Kluwer Acad.
(1998), 181-294
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5
A procedural solution to the unexpected hanging and sorites paradoxes
Shapiro, Stuart Charles
In:
Mind. - Oxford : University Press
107 (1998) 428, 751-761
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6
Quasi-indexicals and knowledge reports
Rapaport, William J.
;
Shapiro, Stuart Charles
;
Wiebe, Janyce M.
In:
Cognitive science. - Hoboken, NJ : Wiley-Blackwell
21 (1997) 1, 63-107
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7
Time in narratives
Almeida, Michael J.
(Mitarb.);
Yuhan, Albert Hanyong
(Mitarb.);
Shapiro, Stuart Charles
(Mitarb.)...
In:
Deixis in narrative. - Hillsdale, NJ [u.a.] : Erlbaum
(1995), 159-260
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8
Deixis in narrative : a cognitive science perspective
Hosenfeld, Carol
(Mitarb.);
Wiebe, Janyce M.
(Mitarb.);
Costello, Anne M.
(Mitarb.). - Hillsdale, NJ [u.a.] : Erlbaum, 1995
BLLDB
UB Frankfurt Linguistik
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9
Encyclopedia of artificial intelligence ; 2
Shapiro, Stuart Charles
(Hrsg.). - New York [u.a.] : Wiley, 1987
UB Frankfurt Linguistik
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10
Encyclopedia of artificial intelligence ; 1
Shapiro, Stuart Charles
(Hrsg.). - New York [u.a.] : Wiley, 1987
UB Frankfurt Linguistik
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11
Knowledge representation
Blum, Bruce I.
(Mitarb.);
Neal, Jeannette G.
(Mitarb.);
Shapiro, Stuart Charles
(Mitarb.)...
In:
The role of language in problem solving ; 2. Edited proceedings of the Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, 2-4 April, 1986 . - Amsterdam : North-Holland
(1987), 3-91
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12
Intensional concepts in propositional semantic networks
Maida, Anthony S.
;
Shapiro, Stuart Charles
In:
Cognitive science. - Hoboken, NJ : Wiley-Blackwell
6 (1982) 4, 291-330
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13
Generalized Augmented Transition Networks grammars for generation from semantic networks
Shapiro, Stuart Charles
In:
American journal of computational linguistics. - Menlo Park, Calif. : SRI International
8 (1982) 1, 12-25
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14
Techniques of artificial intelligence
Shapiro, Stuart Charles
. - New York : Van Nostrand, 1979
BLLDB
UB Frankfurt Linguistik
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15
Mathematical linguistics, logic, and the development of language and reasoning in the child : (discussion paper)
Epstein, George
;
Shapiro, Stuart Charles
In:
Origins and evolution of language and speech. - New York, NY : Academy of Sciences
(1976), 120-126
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16
The MIND System: A Data Structure for Semantic Information Processing
Shapiro,Stuart Charles
In: DTIC AND NTIS (1971)
Abstract:
A description is given of the data structure used in the semantic file of the MIND system (Management of Information through Natural Discourse), and of the procedures for manipulating information stored in the file. The MIND system consists of nested and chained modules of high-level programming language statements; it is relatively easy to modify, either for improvement or for adaptation to specialized applications. The major features of the data structure are: It is a net whose nodes represent conceptual entities and whose edges represent relations that hold between entities; Some nodes of the net are variables, and are used in constructing general statements and deduction rules; Each conceptual entity is represented by exactly one node in the net from which all information concerning that entity is retrievable; Nodes can be identified and retrieved either by name or by a sufficient description of their connections with other nodes. The use of the system to experiment with various semantic theories is demonstrated by examining several questions of current linguistic theory. (Author)
Keyword:
*DATA PROCESSING EQUIPMENT
;
*SEMANTICS
;
COMMAND AND CONTROL SYSTEMS
;
COMPUTATIONAL LINGUISTICS
;
COMPUTER PROGRAMMING
;
Computer Programming and Software
;
Information Science
;
Linguistics
;
MANAGEMENT INFORMATION SYSTEMS
;
MANAGEMENT OF INFORMATION THROUGH NATURAL DISCOURSE
;
MANAGEMENT PLANNING AND CONTROL
;
MIND(MANAGEMENT OF INFORMATION THROUGH NATURAL DISCO
;
NATURAL LANGUAGE
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0733560
http://www.dtic.mil/docs/citations/AD0733560
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