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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)
Abstract: The analysis of narrative text involves various levels of description. On the lowest level are word meanings and syntactic structure within single sentences. On a higher level there are problems of generating inferences and integrating information into memory. At the highest level is the notion of a macro-structure or narrative plot. The identification of high-level narrative structures is central to the problem of narrative summarization. But the intuitive notion of a plot is useless for a process model of summarization unless we can specify the hierarchical representations that allow us to analyze input and produce plots as output. A representational strategy has been developed for high-level structural analysis in conjunction with the BORIS system (a narrative text understanding system). The structures produced effectively encode plot lines in terms of connected graph structures where graph nodes correspond to specific affect units. An affect unit is an abstraction of affective causalty which is recognized in a bottom-up manner at the time of understanding. Simple manipulations of these graph structures yield the conceptual basis for narrative summaries, but the actual process of summarization depends on certain connectivity properties in the graph structure. ; Errata sheet inserted.
Keyword: *COMPREHENSION; *NATURAL LANGUAGE; Affect(Psychology); ARTIFICIAL INTELLIGENCE; Bionics; COMPUTER APPLICATIONS; DECOMPOSITION; EMOTIONS; INFORMATION PROCESSING; Language processing; Linguistics; MEMORY(PSYCHOLOGY); PATTERN RECOGNITION; READING; Summarizing; TEXT PROCESSING
URL: http://www.dtic.mil/docs/citations/ADA086735
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA086735
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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)
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