| 161 |
Alpha/Numeric Extraction Technique Phase II.
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In: DTIC AND NTIS (1977)
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| 162 |
Semantics and Quantification in Natural Language Question Answering
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In: DTIC AND NTIS (1977)
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| 163 |
Natural Language Data Base Query: Using the Data Base Itself as the Definition of World Knowledge and as an Extension of the Dictionary.
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In: DTIC AND NTIS (1977)
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| 164 |
An Annotated Bibliography of Natural Language and Speech Understanding Systems.
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In: DTIC AND NTIS (1977)
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| 165 |
Speech Understanding Systems. Summary of Results of the Five-Year Research Effort at Carnegie-Mellon University
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In: DTIC AND NTIS (1977)
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| 166 |
A Design-Interpretation Analysis of Natural English-with Applications to Man-Computer Interaction.
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In: DTIC AND NTIS (1977)
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| 167 |
Man-Machine Communication Research.
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In: DTIC AND NTIS (1977)
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| 168 |
The Inference of Domain Structure from Informal Process Descriptions
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In: DTIC AND NTIS (1977)
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| 169 |
An Assessment of Reliability of Dialogue Annotation Instructions
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In: DTIC AND NTIS (1977)
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| 170 |
Bootstrapping a Small Translator Writing System.
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In: DTIC AND NTIS (1977)
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| 171 |
A Goal-Oriented Model of Natural Language Interaction
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In: DTIC AND NTIS (1977)
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| 172 |
A Natural Language Graphics System.
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In: DTIC AND NTIS (1977)
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| 173 |
A Framework for Processing Dialogue
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In: DTIC AND NTIS (1977)
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Abstract:
This report describes a framework for handling mixed-initiative English dialogue in a console session environment, with emphasis on recognition. Within this framework, both linguistic and non-linguistic activities are modelled by structures called 'methods', which are a declarative form of procedural knowledge. The design focuses on units of linguistic activity larger than the speech act, so that the pragmatic and semantic context of an utterance can be used to guide its interpretation. Also important is the treatment of indirect speech acts, e.g., the different ways to ask a question, give a command, etc. Given the static model of dialogue embodied in the methods, the problems is to find the correct method step that relates to a particular input. This problem is handled through a combination of careful structural distinctions and the use of multiple recognition strategies. The dialogue methods are used to generate expectations dynamically, special structures are used to facilitate matching, and a basic distinction between four major utterance classes is used to determine which of several overall matching strategies should be used for a given expectation. ; Sponsored in part by the Advanced Research Project Agency of the Department of Defense.
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Keyword:
*COMPUTATIONAL LINGUISTICS; *COMPUTER PROGRAMMING; *DIALOGUES; *MAN COMPUTER INTERFACE; AUTOMATIC; Bionics; COMPREHENSION; Computer Hardware; Computer Programming and Software; DATA PROCESSING TERMINALS; ENGLISH LANGUAGE; Human Factors Engineering & Man Machine System; INFORMATION PROCESSING; INTERROGATION; Linguistics; MAN MACHINE SYSTEMS; MATCHING; MODELS; NATURAL LANGUAGE; OWL PROGRAMMING LANGUAGE; PATTERN RECOGNITION; SEMANTICS; USER NEEDS
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA042370
http://www.dtic.mil/docs/citations/ADA042370
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| 174 |
Speech Understanding Systems. Volume I. Introduction and Overview.
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In: DTIC AND NTIS (1976)
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| 175 |
Speech Understanding Systems. Volume 4. Syntax and Semantics
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In: DTIC AND NTIS (1976)
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| 176 |
Writing and Following Procedural Descriptive and Restricted Syntax Language Instructions.
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In: DTIC AND NTIS (1976)
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| 177 |
Speech Understanding Systems. Volume 3. Lexicon, Lexical Retrieval and Control
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In: DTIC AND NTIS (1976)
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| 178 |
Getting the GIST: A Computational Theory of Sentence Understanding
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In: DTIC AND NTIS (1976)
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| 179 |
Interactive Human Communication: Some Lessons Learned from Laboratory Experiments.
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In: DTIC AND NTIS (1976)
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| 180 |
A Method for Studying Natural Language Dialogue.
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In: DTIC AND NTIS (1976)
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