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1
Biological Information Processing in Single Microtubules
In: DTIC (2014)
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2
Using Target Network Modelling to Increase Battlespace Agility
In: DTIC (2013)
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3
Enabling Efficient Intelligence Analysis in Degraded Environments
In: DTIC (2013)
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4
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
In: DTIC (2013)
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5
C2-Simulation Interoperability in NATO
In: DTIC (2013)
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6
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
In: DTIC (2013)
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7
Interacting with Multi-Robot Systems Using BML
In: DTIC (2013)
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8
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
In: DTIC (2012)
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9
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
In: DTIC (2012)
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10
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
In: DTIC (2012)
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11
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
In: DTIC (2011)
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12
An Intelligence Process Model Based on a Collaborative Approach
In: DTIC (2011)
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13
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
In: DTIC (2011)
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14
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
In: DTIC (2011)
Abstract: The current deployments of the German Federal Armed Forces make it necessary to analyze large quantities of intelligence reports and other documents written in different languages. Natural language processing techniques (NLP) can be applied to efficiently handle these tasks. The ZENON project makes use of an information extraction approach for the (partial) content analysis of English HUMINT reports. It has been extended to do multilingual information extraction (i.e., processing Dari and Tajik texts). This paper focuses on the improvement of ZENON's English semantic analysis. To extend the system's coverage when performing content analysis the authors used a semantic role labeling approach. The paper describes the ZENON system and its information extraction functions, the semantic role labeling approach, and the architecture of the implemented application. The presentation includes briefing charts. ; Presented at the International Command and Control Research and Technology Symposium (ICCRTS 2011) (16th) held in Quebec City, Canada on 21-23 June 2011. Published in the Proceedings of the 16th International Command and Control Research and Technology Symposium, June 2011.
Keyword: *AUTOMATION; *ENGLISH LANGUAGE; *EXTRACTION; *INFORMATION PROCESSING; *MILITARY INTELLIGENCE; *NATURAL LANGUAGE; *SEMANTIC ANALYSIS; *SEMANTIC ROLE LABELING; *SEMANTICS; BRIEFING CHARTS; DOCUMENTS; FOREIGN REPORTS; GERMANY; Information Science; Linguistics; MILITARY APPLICATIONS; Military Intelligence; NATURAL LANGUAGE PROCESSING; PARTIAL CONTENT ANALYSIS; SYMPOSIA; ZENON SYSTEM
URL: http://www.dtic.mil/docs/citations/ADA546909
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA546909
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15
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
In: DTIC (2011)
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16
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
In: DTIC (2010)
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17
RMIT University at TREC 2009: Web Track
In: DTIC (2009)
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18
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
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19
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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20
ICTNET at Web Track 2009 Diversity task
In: DTIC (2009)
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