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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2014)
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Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
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Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program-Awareness
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In: DTIC (2012)
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Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
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In: DTIC (2012)
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SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
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In: DTIC (2011)
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Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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A Multi-Disciplinary University Research Initiative in Hard and Soft Information Fusion: Overview, Research Strategies and Initial Results
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In: DTIC (2010)
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Enabling Multinational Communications with CENTRIXS
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In: DTIC (2010)
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Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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Abstract:
DoD acquisition is an extremely complex system, comprised of myriad stakeholders processes, people, activities, and organizations in an effort to provide the most useful capabilities to warfighters at the best possible value to the government. This effort is being accomplished by acquisition analysts who despite years of experience are encumbered by mountains of available data. To assist the analyst, we consider that the cognitive interface between decision-makers and a complex system may be expressed in a range of terms or "features," i.e., specific vocabulary to describe attributes. This offers the opportunity to more easily compare two competing technologies, which, in turn, may be compared to the Navy warfighter requirements. This effort can allow decision-makers to become aware of what programs, systems, and specific features are available for acquisition and how well they match warfighter's needs and requirements with greater effect and immediacy - possibly in real-time. We present a data-driven automation method, namely, Lexical Link Analysis (LLA), to facilitate and automate acquisition system self-awareness. ; Presented at the Annual Acquisition Research Symposium (7th) held May 12-13, 2010 in Monterey, California. Briefing charts begin p33. The original document contains color images.
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Keyword:
*DECISION SUPPORT SYSTEMS; *MILITARY PROCUREMENT; BRIEFING CHARTS; COMPARISON; Cybernetics; DISCOVERY TOOLS; ENTERPRISE ASSET ACQUISITIONS; INFORMATION RETRIEVAL; Information Science; JCIDS(JOINT CAPABILITIES INTEGRATION AND DEVELOPMENT SYSTEM); LINK VISUALIZATION; LLA(LEXICAL LINK ANALYSIS); MILITARY CAPABILITIES; MILITARY REQUIREMENTS; ONTOLOGY; PLANNING PROGRAMMING BUDGETING; SYMPOSIA; TECHNOLOGY ASSESSMENT
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA529507 http://www.dtic.mil/docs/citations/ADA529507
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A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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