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1
The Use of Stereotype Information in the Comprehension of Noun Phrases.
In: DTIC AND NTIS (1979)
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2
The Conceptual Content of Conversation.
In: DTIC AND NTIS (1979)
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3
Inference in the Conceptual Dependency Paradigm: A Personal History.
In: DTIC AND NTIS (1978)
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4
Representing Attitudes: Some Primitive States.
In: DTIC AND NTIS (1978)
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5
Interestingness: Controlling Inferences.
In: DTIC AND NTIS (1978)
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6
Integrated Partial Parsing.
In: DTIC AND NTIS (1978)
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7
Re: The Gettysburg Address Representing Social and Political Acts.
In: DTIC AND NTIS (1978)
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8
Comprehension by Computer: Expectation-Based Analysis of Sentences in Context.
In: DTIC AND NTIS (1976)
Abstract: ELI (English Language Interpreter) is a natural language parsing program currently used by several story understanding systems. ELI differs from most other parsers in that it: produces meaning representations (using Schank's Conceptual Dependency system) rather than syntactic structures; uses syntactic information only when the meaning can not be obtained directly; talks to other programs that make high level inferences that tie individual events into coherent episodes; uses context-based exceptions (conceptual and syntactic) to control its parsing routines. Examples of texts that ELI has understood, and details of how it works are given.
Keyword: *COMPREHENSION; *COMPUTER APPLICATIONS; *NATURAL LANGUAGE; AMBIGUITY; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; COMPUTER PROGRAMMING; Computer Programming and Software; ELI(English Language Interpreter); English language interpreter; EXPERIMENTAL DESIGN; INTERPRETERS; Linguistics; Natural language processors; SEMANTICS
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA031587
http://www.dtic.mil/docs/citations/ADA031587
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9
Research At Yale in Natural Language Processing.
In: DTIC AND NTIS (1976)
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