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AIR FORCE RESEARCH LAB ROME NY (2)
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2012 (14)
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Simple Search
Hits 1 – 14 of 14
1
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
Symonds, Mike
;
Zuccon, Guido
;
Koopman, Bevan
...
In: DTIC (2012)
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2
Linguistic Model for Axle Fatigue
Grantner, Janos
;
Bazuin, Bradley
;
Hathaway, Richard
...
In: DTIC (2012)
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3
Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech (Preprint)
Uluskan, Seckin
;
Hansen, John H
In: DTIC (2012)
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4
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
Holton, Tara L
In: DTIC (2012)
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5
Familiar Speaker Recognition
Wenndt, Stanley J
;
Mitchell, Ronald L
In: DTIC (2012)
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6
Machine Recognition vs Human Recognition of Voices
Wenndt, Stanley J
;
Mitchell, Ronald L
In: DTIC (2012)
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7
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
Mehrabani, Mahnoosh
;
Hansen, John H
In: DTIC (2012)
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8
Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program-Awareness
Zhao, Ying
;
Gallup, Shelley
;
MacKinnon, Douglas
In: DTIC (2012)
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.
Keyword:
*DATA ACQUISITION
;
DISPLAY SYSTEMS
;
EXTRACTION
;
Information Science
;
INTELLIGIBILITY
;
LEXICOGRAPHY
;
LLC(LEXICAL LINK ANALYSIS)
;
PICTURES
;
SYMPOSIA
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA563319
http://www.dtic.mil/docs/citations/ADA563319
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9
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
He, Yu-Wen
;
Bao, Chang-Chun
;
Xia, Bing-Yin
In: DTIC (2012)
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10
Integrating Hard and Soft Information Sources for D2D Using Controlled Natural Language
Preece, Alun
;
Pizzocaro, Diego
;
Braines, Dave
...
In: DTIC (2012)
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11
SAWUS: Siena's Automatic Wikipedia Update System
Tompkins, Carl
;
Witter, Zachary
;
Small, Sharon G
In: DTIC (2012)
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12
Aligning Learning Capability with Strategy: A Training Needs Assessment (TNA) Case Study
Surface, Eric A
;
Harman, Reanna P
;
Federe, Marla
In: DTIC (2012)
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13
Learning for Microblogs with Distant Supervision: Political Forecasting with Twitter
Marchetti-Bowick, Micol
;
Chambers, Nathanael
In: DTIC (2012)
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14
Kommunikation in der naturwissenschaftlichen Forschung: eine Studie aus sozialpsychologisch-semiotischer Perspektive
Schulze, Annedore
;
Wenzel, Vera
In: Journal für Psychologie ; 6 ; 2 ; 53-69 (2012)
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