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Hits 1 – 18 of 18

1	Understanding Tonal Languages
	Zahorian, Stephen A
	In: DTIC (2013)
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2	MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic Sensing
	Man, Hong; Yao, Yu-dong
	In: DTIC (2013)
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3	Social Media Sentiment Analysis and Topic Detection for Singapore English
	Phua, Yee Ling
	In: DTIC (2013)
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4	Application of the Augmented Operator Function Model for Developing Cognitive Metrics in Persistent Surveillance
	Paul, Tiffany M; Fendley, Mary; Gibbs, Soloman
	In: DTIC (2013)
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5	Visualization of Decision Processes Using a Cognitive Architecture
	Livingston, Mark A; Murugesan, Arthi; Brock, Derek...
	In: DTIC (2013)
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6	Computational Modeling of Emotions and Affect in Social-Cultural Interaction
	Liu, Yang
	In: DTIC (2013)
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7	Fast, Flexible, Rational Inductive Inference
	Griffiths, Thomas
	In: DTIC (2013)
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8	Improved Phrase Translation Modeling Using Maximum A-Posteriori (MAP) Adaptation
	Anderson, Timothy; Aminzadeh, A R; Drexler, Jennifer...
	In: DTIC (2013)
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9	Active Authentication Linguistic Modalities
	Fridman, Alex; Stolerman, Ariel; Acharya, Sayandeep...
	In: DTIC (2013)
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10	A Submodularity Framework for Data Subset Selection
	Kirchhoff, Katrin; Bilmes, Jeff; Wei, Kai...
	In: DTIC (2013)
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11	Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
	Zhao, Ying; Gallup, Shelley P; MacKinnon, Douglas J
	In: DTIC (2013)
	Abstract: Lexical Link Analysis (LLA) is a form of text mining in which word meanings are represented in lexical terms (e.g., word pairs) of a word network. In the past, we have shown how LLA can systematically and automatically discover new patterns in large-scale defense acquisition data on multiple programs as indicators for program or investment performances. We also started to apply LLA to understand the quality of the data by comparing categories of information and detecting data gaps. Last year, we examined the Acquisition Visibility Portal (AVP), which is a critical tool that provides the DoD-wide acquisition community with authoritative and accurate data services. We reported the first program from AVP to have undergone a relatively comprehensive LLA analysis. This year, we found that there is much consensus or consistency in the various categories (e.g., acquisition and engineering communities) of artifacts, yet gaps or low correlations seem to characterize the majority of the data for the relations among these categories. LLA, however, is able to discover in detail where the gaps and inconsistencies in the data reside. The findings offered in this report can help decision-makers improve their resource and big data management to better understand how particular acquisition strategies may affect the desired return on investment (ROI) among projects. ; Acquisition Research Program Sponsored Report Series.
	Keyword: ACQUISITION DATA; ACQUISITION VISIBILITY PORTAL; AUTOMATION; DATA MINING; DOCUMENTS; INTERNET; LEXICAL LINK ANALYSIS; LINKAGES; MILITARY PROCUREMENT; SEMANTICS; *TEXT MINING; ACCURACY; APB(ACQUISITION PROGRAM BASELINE); ARTIFACTS; ASR(ACQUISITION STRATEGY REPORTS); CONSISTENCY; CORRELATION; Cybernetics; DAES(DEFENSE ACQUISITION EXECUTIVE SUMMARIES); DATA ACCURACY; DATA GAPS; DATA INCONSISTENCIES; DATA MANAGEMENT; DATA QUALITY; DEPARTMENT OF DEFENSE; INFORMATION RETRIEVAL; Information Science; LEARNING MACHINES; Linguistics; Logistics; MILESTONE B ACQUISITION DECISION MEMORANDUM; Military Facilities and Supplies; QUALITY; SAR(SELECTED ACQUISITION REPORTS); SEMANTIC NETWORKS; SEP(SYSTEMS ENGINEERING PLANS); TEMP(TEST AND EVALUATION MASTER PLANS); TRA(TECHNOLOGY READINESS ASSESSMENT); UNSTRUCTURED DATA; WORDS(LANGUAGE)
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA591734 http://www.dtic.mil/docs/citations/ADA591734
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12	Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
	Martineau, Etienne; Lecocq, Regine
	In: DTIC (2013)
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13	Contextual Awareness for Robust Robot Autonomy
	Simmons, Reid
	In: DTIC (2013)
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14	Faust: Flexible Acquistion and Understanding System for Text
	Voss, L L; Wilkins, David E; Israel, David...
	In: DTIC (2013)
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15	Extending Semantic and Episodic Memory to Support Robust Decision Making
	Laird, John E
	In: DTIC (2013)
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16	Interacting with Multi-Robot Systems Using BML
	Remmersmann, Thomas; Tiderko, Alexander; Schade, Ulrich
	In: DTIC (2013)
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17	Future reasoning machines : mind and body
	Duffy, Brian R.; O'Hare, G. M. P. (Greg M. P.); Bradley, John F.. - : Emerald, 2013
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18	Cybernetic configurations: characteristics of interactivity in the digital arts.
	Gifford, Toby; Brown, Andrew R.. - : ISEA International, 2013. : Australian Network for Art & Technology, 2013. : University of Sydney, 2013
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