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1
Decision Allocation of C2 System Based on ULMADM
In: DTIC (2014)
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2
Transfer Learning in Integrated Cognitive Systems
In: DTIC (2010)
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3
Analysis of Discourse Accent and Discursive Practices I&W
In: DTIC (2010)
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4
Finding the FOO: A Pilot Study for a Multimodal Interface
In: DTIC AND NTIS (2003)
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5
Communicating with Teams of Cooperative Robots
In: DTIC AND NTIS (2002)
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6
Human Factors Military Lexicon: Auditory Displays
In: DTIC AND NTIS (2001)
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7
Detection and Correction of Repairs in Human-Computer Dialog
In: DTIC (1992)
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8
Speech Recognition Application in C.I.C
In: DTIC AND NTIS (1991)
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9
The DoD Gateway Information System (DGIS): The Development Toward Artificial Intelligence and Hypermedia in Common Command Language
In: DTIC AND NTIS (1988)
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10
A Model for Integrating a Job-Aiding, Training, and Performance Assessment System--a Preliminary Concept Paper.
In: DTIC AND NTIS (1988)
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11
Performance Improvements of the Phoneme Recognition Algorithm.
In: DTIC AND NTIS (1984)
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12
Design Recommendations for Query Languages
In: DTIC AND NTIS (1980)
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13
Critical Issues in Airborne Applications of Speech Recognition.
In: DTIC AND NTIS (1979)
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14
Interactive Classroom Television Systems: Educational Impact on Partially Sighted Students
In: DTIC AND NTIS (1978)
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15
Human Verbal Behavior Considerations in the Design of Voice Actuated Hardware Systems.
In: DTIC AND NTIS (1977)
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16
An Overview of OWL, A Language for Knowledge Representation.
In: DTIC AND NTIS (1977)
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17
Man-Machine Communication Research.
In: DTIC AND NTIS (1977)
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18
An Assessment of Reliability of Dialogue Annotation Instructions
In: DTIC AND NTIS (1977)
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19
A Framework for Processing Dialogue
In: DTIC AND NTIS (1977)
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.
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
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA042370
http://www.dtic.mil/docs/citations/ADA042370
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20
Analysis of Languages for Man-Machine Voice Communication
In: DTIC AND NTIS (1976)
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