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Hits 21 – 36 of 36

21
The Analysis of Nominal Compounds
In: DTIC AND NTIS (1985)
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22
Problems in question answering
In: Cognitive constraints on communication. - Dordrecht [u.a.] : Reidel (1984), 137-159
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23
BORIS : an experiment in in-depth understanding of narratives
In: Artificial intelligence. - Amsterdam : Elsevier 20 (1983) 1, 15-62
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24
Strategies for natural language processing
Rieger, Chuck (Mitarb.); DeJong, Gerald (Mitarb.); Salveter, Sharon C. (Mitarb.). - Hillsdale, N.J. [u.a.] : Erlbaum, 1982
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UB Frankfurt Linguistik
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25
Modelization and simulation of comprehension
Kintsch, Walter (Mitarb.); Sabah, G. (Mitarb.); Coulon, Daniel (Mitarb.)...
In: Language and comprehension. - Amsterdam [u.a.] : North-Holland Publ. (1982), 301-358
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26
Plot units and narrative summarization
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 5 (1981) 4, 293-331
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27
A computational theory of human question answering
In: Elements of discourse understanding. - Cambridge [u.a.] : Cambridge Univ. Press (1981), 145-176
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28
Affect Units and Narrative Summarization.
In: DTIC AND NTIS (1980)
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29
Memory Organization and Search Processes for Narratives.
In: DTIC AND NTIS (1980)
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30
A critical perspective on KRL
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 3 (1979) 1, 1-28
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31
Philosophical perspectives in artificial intelligence
Pylyshyn, Zenon W. (Mitarb.); Lehnert, Wendy G. (Mitarb.); Dreyfus, Hubert L. (Mitarb.). - Brighton, Sussex : Harvester Press, 1979
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UB Frankfurt Linguistik
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32
The Role of Object Primitives in Natural Language Processing.
In: DTIC AND NTIS (1979)
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33
Text Processing Effects and Recall Memory.
In: DTIC AND NTIS (1979)
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34
The Conceptual Content of Conversation.
In: DTIC AND NTIS (1979)
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35
The process of question answering : a computer simulation of cognition
Lehnert, Wendy G.. - Hillsdale, NJ : Erlbaum, 1978
IDS Mannheim
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36
The Process of Question Answering.
In: DTIC AND NTIS (1977)
Abstract: Problems in computational question answering assume a new perspective when question answering is viewed as a problem in natural language processing. A theory of question answering has been proposed which relies on ideas in conceptual information processing and theories of human memory organization. This theory of question answering has been implemented in a computer program, QUALM, currently being used by two story understanding systems to complete a natural language processing system which reads stories and answers questions about what was read. The processes in QUALM are divided into 4 phases: (1) Conceptual categorization which guides subsequent processing by dictating which specific inference mechanisms and memory retrieval strategies should be invoked in the course of answering a question; (2) Inferential analysis which is responsible for understanding what the questioner really meant when a question should not be taken literally; (3) Content specification which determines how much of an answer should be returned in terms of detail and elaborations, and (4) Retrieval heuristics which do the actual digging to extract an answer from memory. ; Doctoral thesis.
Keyword: *EXPERIMENTAL DESIGN; *INFORMATION PROCESSING; *INTERROGATION; *NATURAL LANGUAGE; *Qualm computer program; *Question answering systems; AMBIGUITY; ARTIFICIAL INTELLIGENCE; Bionics; CLASSIFICATION; Cognition; COMPREHENSION; Computer Programming and Software; COMPUTER PROGRAMS; COMPUTERIZED SIMULATION; Dialog(Computers); HEURISTIC METHODS; Inference; INFORMATION RETRIEVAL; Linguistics; MACHINE TRANSLATION; MEMORY(PSYCHOLOGY); PATTERN RECOGNITION; Psychology; SOCIAL COMMUNICATION; Story comprehension; TEXT PROCESSING; THESES; Understanding
URL: http://www.dtic.mil/docs/citations/ADA040559
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA040559
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