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1
Strong Artificial Intelligence and National Security: Operational and Strategic Implications
In: DTIC (2015)
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2
Crowdsourcing Intelligence to Combat Terrorism: Harnessing Bottom-Up Collection to Prevent Lone-Wolf Terror Attacks
In: DTIC (2015)
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3
Understanding and Harnessing the Power of Ideas, Persuasion, and Trust 2.0
In: DTIC (2014)
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4
Progressão do texto nas redações conversacionais: As técnicas da reformulação na fabricação colaborativa do texto
In: ISSN: 2175-6600 ; Debates em Educação ; https://hal.archives-ouvertes.fr/hal-01259709 ; Debates em Educação, CEDU-UFAL, 2013, 5 (10), pp.150-189 ; http://www.seer.ufal.br/index.php/debateseducacao (2013)
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5
Uncertainty Can Increase Explanatory Credibility
In: DTIC (2013)
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6
Better Equipping Reserve Military Intelligence Analyst to Meet the Needs of the Commander by Championing a Process-Driven Training Model
In: DTIC (2013)
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7
Semantic and Social Networks Comparison for the Haiti Earthquake Relief Operations from APAN Data Sources using Lexical Link Analysis (LLA)
In: DTIC (2012)
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8
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
In: DTIC (2011)
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9
Establishment of the National Maritime Intelligence Center: Understanding the Foundations of Trust to Support a Collaborative Environment in Homeland Security
In: DTIC (2010)
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10
Validation Workshop of the DRDC Concept Map Knowledge Model: Issues in Intelligence Analysis
In: DTIC (2010)
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11
Intelligence after Intellipedia: Improving the Push Pull Balance with a Social Networking Utility
In: DTIC (2010)
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12
UDEL/SMU at TREC 2009 Entity Track
In: DTIC (2009)
Abstract: We report our methods and experiment results from the collaborative participation of the InfoLab group from University of Delaware and the school of Information Systems from Singapore Management University in the TREC 2009 Entity track. Our general goal is to study how we may apply language modeling approaches and natural language processing techniques to the task. Specifically, we proposed to find supporting information based on segment retrieval, to extract entities using Stanford NER tagger, and to rank entities based on a previously proposed probabilistic framework for expert finding. ; Presented at the Text Retrieval Conference (18th) (TREC-2009) held in Gaithersburg, MD, on 17-20 Nov 2009. Prepared in cooperation with Singapore Management University. Sponsored in part by the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
Keyword: *INFORMATION RETRIEVAL; *MODELS; *NATURAL LANGUAGE; *TREC(TEXT RETRIEVAL EXPERIMENTATION); COLLABORATIVE TECHNIQUES; DATA PROCESSING; EXPERIMENTAL DATA; EXPERT SYSTEMS; INFORMATION PROCESSING; Information Science; METHODOLOGY; NER(NAMED ENTITY RECOGNITION); PROBABILITY; RANKING; RECOGNITION; SMU(SINGAPORE MANAGEMENT UNIVERSITY); SYMPOSIA; UDEL(UNIVERSITY OF DELAWARE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517766
http://www.dtic.mil/docs/citations/ADA517766
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13
Transforming IA Certification and Accreditation across the National Security Community
In: DTIC (2008)
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14
Special Operations Reconnaissance (SOR) Scenario: Intelligence Analysis and Mission Planning
In: DTIC (2008)
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15
Social Sensemaking in Multinational Groups: A Common Ground Approach
In: DTIC (2008)
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16
United States Intelligence Community (IC) 100 Day Plan for Integration and Collaboration
In: DTIC (2007)
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17
United States Intelligence Community 500 Day Plan for Integration and Collaboration
In: DTIC (2007)
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18
Taking Joint Intelligence Operations to the Next Level
In: DTIC (2007)
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19
Mutual Ground
In: DTIC (2005)
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20
Towards Collaboration with Robots in Shared Space: Spatial Perspective and Frames of Reference
In: DTIC (2005)
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