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1
Strong Artificial Intelligence and National Security: Operational and Strategic Implications
In: DTIC (2015)
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2
IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
In: DTIC (2015)
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3
Mobile Active Authentication via Linguistic Modalities
In: DTIC (2015)
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4
Uncertainty Can Increase Explanatory Credibility
In: DTIC (2013)
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5
Representing and Reasoning with Functional Knowledge for Spatial Language Understanding
In: DTIC (2011)
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6
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
In: DTIC (2011)
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7
Transfer Learning in Integrated Cognitive Systems
In: DTIC (2010)
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8
Analysis of Discourse Accent and Discursive Practices I&W
In: DTIC (2010)
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9
Transformational Impact of "Digital Natives" on Cultures, Commerce and Societies
In: DTIC (2010)
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10
Plastic Machines: Behavioural Diversity and the Turing Test
Wheeler, Michael. - : Emerald, 2010
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11
Dual-Task Performance with Center-Surround Auditory-Only Displays
In: DTIC (2009)
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12
Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
In: DTIC (2009)
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13
The Use of a Context-Based Information Retrieval Technique
In: DTIC (2009)
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14
A Sensemaking Visualization Tool with Military Doctrinal Elements
In: DTIC (2008)
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15
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
Abstract: We describe a two-layer architecture for supporting semantic interpretation and domain reasoning in dialogue systems. Building systems that support both semantic interpretation and domain reasoning in a transparent and well-integrated manner is an unresolved problem because of the diverging requirements of the semantic representations used in contextual interpretation versus the knowledge representations used in domain reasoning. We propose an architecture that provides both portability and efficiency in natural language interpretation by maintaining separate semantic and domain knowledge representations, and integrating them via an ontology mapping procedure. The ontology mapping is used to obtain representations of utterances in a form most suitable for domain reasoners, and to automatically specialize the lexicon. The use of a linguistically motivated parser for producing semantic representations for complex natural language sentences facilitates building portable semantic interpretation components as well as connections with domain reasoners. Two evaluations demonstrate the effectiveness of our approach: we show that a small number of mapping rules is sufficient for customizing the generic semantic representation to a new domain, and that our automatic lexicon specialization technique improves parser speed and accuracy. ; Prepared in cooperation with the University of Edinburgh, UK. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA).
Keyword: *KNOWLEDGE BASED SYSTEMS; *NATURAL LANGUAGE; *SEMANTICS; Computer Programming and Software; Information Science; LEXICOGRAPHY; LINGO-ERG GRAMMAR; Linguistics; MAN COMPUTER INTERFACE; MRS COMPUTER PROGRAM; ONTOLOGY; PARSERS; SOCIAL COMMUNICATION; SPEECH; SYNTAX; TEST AND EVALUATION; TRIPS COMPUTER PROGRAM; UDRS COMPUTER PROGRAM; VOCABULARY; Voice Communications; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA534412
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA534412
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16
Common Navy Warfighting Display Symbology Implementation Guide
In: DTIC (2007)
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17
Error Awareness and Recovery in Conversational Spoken Language Interfaces
In: DTIC (2007)
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18
The Error Is the Clue: Breakdown In Human-Machine Interaction
In: DTIC (2006)
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19
Virtual Rapport
In: DTIC (2006)
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20
Dealing with Out of Domain Questions in Virtual Characters
In: DTIC (2006)
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