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1
Study of Discussion Record Analysis Using Temporal Data Crystallization and Its Application to TV Scene Analysis
In: DTIC (2015)
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2
Intelligence Virtual Analyst Capability: Governing Concepts and Science and Technology Roadmap
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3
Graph Analyzer Widget Closer to Agility through Sense-Making
In: DTIC (2014)
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4
Decision Allocation of C2 System Based on ULMADM
In: DTIC (2014)
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5
Accurate Arabic Script Language/Dialect Classification
In: DTIC (2014)
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6
Robust Multimodal Cognitive Load Measurement
In: DTIC (2014)
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7
Biological Information Processing in Single Microtubules
In: DTIC (2014)
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8
Processes for Assessing Outcomes of Multi-national Missions (Processus d'evaluation des resultats de missions multinationales)
In: DTIC (2013)
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9
Defense Contracting: Actions Needed to Explore Additional Opportunities to Gain Efficiencies in Acquiring Foreign Language Support
In: DTIC (2013)
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10
Numerical Algorithms for the Analysis of Expert Opinions Elicited in Text Format
In: DTIC (2013)
Abstract: Latent Dirichlet Allocation (LDA) is a scheme which may be used to estimate topics and their probabilities within a corpus of text data. The fundamental assumptions in this scheme are that text is a realisation of a stochastic generative model and that this model is well described by the combination of multinomial probability distributions and Dirichlet probability distributions. Various means can be used to solve the Bayesian estimation task arising in LDA. Our formulations of LDA are applied to subject matter expert text data elicited through carefully constructed decision support workshops. In the main these workshops address substantial problems in Australian Defence Capability. The application of LDA here is motivated by a need to provide insights into the collected text, which is often voluminous and complex in form. Additional investigations described in this report concern questions of identifying and quantifying di erences between stake-holder group text written to a common subject matter. Sentiment scores and key-phase estimators are used to indicate stake-holder di erences. Some examples are provided using unclassi ed data.
Keyword: *ALGORITHMS; *DATA MINING; *NUMERICAL ANALYSIS; *TEXT PROCESSING; AUSTRALIA; BAYES THEOREM; DECISION SUPPORT SYSTEMS; ESTIMATES; FOREIGN REPORTS; FORMULATIONS; Information Science; KEY PHRASE ESTIMATION; LATENT DIRICHLET ALLOCATION; Linguistics; MONTE CARLO METHOD; NATURAL LANGUAGE; PROBABILISTIC TOPIC ESTIMATION; PROBABILITY; PROBABILITY DISTRIBUTION FUNCTIONS; SENTIMENT ANALYSIS; STOCHASTIC PROCESSES; TEXT ANALYSIS
URL: http://www.dtic.mil/docs/citations/ADA581076
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA581076
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11
Using Target Network Modelling to Increase Battlespace Agility
In: DTIC (2013)
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12
Mostly-Automatic Construction of a Palantir Knowledge Base with NetOwl Extractor
In: DTIC (2013)
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13
Enabling Efficient Intelligence Analysis in Degraded Environments
In: DTIC (2013)
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14
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
In: DTIC (2013)
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15
C2-Simulation Interoperability in NATO
In: DTIC (2013)
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16
KEYNOTE 2 : Rebuilding the Tower of Babel - Better Communication with Standards
In: DTIC (2013)
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17
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
In: DTIC (2013)
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18
Interacting with Multi-Robot Systems Using BML
In: DTIC (2013)
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19
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
In: DTIC (2012)
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20
A Spoken Dialogue System for Command and Control
In: DTIC (2012)
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