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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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| 2 |
Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
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| 3 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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| 4 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 5 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 6 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 7 |
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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Abstract:
DoD acquisition is an extremely complex system, comprised of myriad stakeholders, processes, people, activities, and organizational structures. Processes within this complex system are encumbered by the continuous development of large amounts of unstructured and unformatted acquisition program data, which is narrowly useful, but difficult to aggregate across the enterprise. Yet, acquisition analysts and decision-makers must analyze all types and spectrums of the available data to obtain a complete and understandable picture. This is a kind of systems non-congruence that has been difficult to overcome. For those embedded within the complexities of the acquisition community, this can be a daunting, if not impossible, task. We will apply a data-driven automation system, namely, Lexical Link Analysis (LLA) to facilitate acquisition researchers and decision-makers to recognize important connections (concepts) that form patterns derived from dynamic, ongoing data collection. The LLA technology and methodology is used to uncover and display relationships among competing programs and Navy-driven requirements. In the past year, we tested our method using samples of acquisition data for visualization and validity. LLA successfully discovered statistically significant correlations, and automatically extracted lexical links, thus improving acquisition professionals knowledge. ; Excerpt from the Proceedings of the Annual Acquisition Research Symposium (9th) held in Monterey, CA on 15-17 May 2012, Volume 1.
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Keyword:
*DATA ACQUISITION; DISPLAY SYSTEMS; EXTRACTION; Information Science; INTELLIGIBILITY; LEXICOGRAPHY; LLC(LEXICAL LINK ANALYSIS); PICTURES; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA563319
http://www.dtic.mil/docs/citations/ADA563319
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| 8 |
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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| 10 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 11 |
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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| 12 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 13 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 14 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 15 |
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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| 16 |
Enabling Multinational Communications with CENTRIXS
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In: DTIC (2010)
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| 17 |
Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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| 19 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 20 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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