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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 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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| 3 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 4 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 5 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 6 |
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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| 7 |
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
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In: DTIC (2012)
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| 8 |
SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 9 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 10 |
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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| 11 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 12 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 13 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 14 |
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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Abstract:
The University at Buffalo (UB) Center for Multisource Information Fusion (CMIF) along with a team including the Pennsylvania State University (PSU), Iona College (Iona), and Tennessee State University (TSU) is conducting research to develop a generalized framework, mathematical techniques, and test and evaluation methods to address the ingestion and harmonized fusion of Hard and Soft information in a distributed Level 1 and Level 2 data fusion environment. The primary Research Thrusts addressed are framed around the major functional components of the JDL Fusion Process; these include 1. Source Characterization of Soft Data input streams including; human observation--direct indirect, open source inputs, linguistic framing and text processing. 2. Common Referencing and Alignment of Hard and Soft Data, especially strategies and methods for meta-data generation for Hard-Soft data normalization. 3. Generalized Data Association Strategies and Algorithms for Hard and Soft Data. 4. Robust Estimation Methods that exploit associated Hard and Soft Data. 5. Dynamic Network-based Effects on Hard-Soft Data Fusion Architectures and Methods. 6. Test and Evaluation Methodology Development to include Human-in-the-Loop. 7. Extensibility, Adaptability, and Robustness Assessment. 8. Fusion Process Framework. 9. Technology Concept of Employment. This program is a large, 5-year effort and considered distinctive in being a major academic thrust into the complexities of the hard and soft fusion problem. This paper summarizes the research strategy, the early technology decisions made, and the very early results of both design approaches and prototyping. ; Presented at the 13th International Conference on Information Fusion held in Edinburgh, UK on 26-29 July 2010. Sponsored in part by Office of Naval Research, Office of Naval Research Global, and U.S. Army Research Laboratory's Army Research Office (ARO). U.S. Government or Federal Rights License.
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Keyword:
*DATA FUSION; COMPUTATIONAL LINGUISTICS; Cybernetics; FUSION PROCESS DESIGN; GRAPHIC THEORETIC METHODS; HARD AND SOFT FUSION; INFORMATION FUSION; Information Science; Linguistics; SCIENTIFIC RESEARCH; SYMPOSIA
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA564701
http://www.dtic.mil/docs/citations/ADA564701
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| 15 |
Enabling Multinational Communications with CENTRIXS
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In: DTIC (2010)
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| 16 |
Towards Real-time Program Awareness via Lexical Link Analysis
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In: DTIC (2010)
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| 18 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 19 |
Recognizing Connotative Meaning in Military Chat Communications
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In: DTIC (2009)
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| 20 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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