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Biological Information Processing in Single Microtubules
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In: DTIC (2014)
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| 2 |
Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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| 3 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 4 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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| 6 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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| 7 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 8 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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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
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In: DTIC (2012)
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| 10 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 11 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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| 12 |
An Intelligence Process Model Based on a Collaborative Approach
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In: DTIC (2011)
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| 13 |
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
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In: DTIC (2011)
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| 14 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 15 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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| 16 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 18 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 19 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 20 |
ICTNET at Web Track 2009 Diversity task
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In: DTIC (2009)
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Abstract:
We (ICTNET team) participated in Web Track of TREC2009, and in this paper, we summarize our work on Diversity task of Web Track, which is new in this year. The goal of the diversity task is to return a ranked list of pages that together provide complete coverage for a query, while avoiding excessive redundancy in the result list. For this task, we cluster the results of ad hoc task, and rerank the results depend on subtopics docs covers. Besides, we introduce two methods which tried to find the implicit subtopic by using the docs returned from commerce search engine. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and the Advanced Research and Development Activity (ARDA).
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Keyword:
*INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *SEARCH ENGINES(INTERNET); *WEB(INTERNET); CHINA; COMMERCE; Computer Programming and Software; DOCS(DOCUMENTS); Equipment and Methods; FOREIGN REPORTS; ICTNET(INSTITUTE OF COMPUTING TECHNOLOGY NETWORK); INFORMATION PROCESSING; Information Science; INTERNET BROWSERS; Linguistics; QUERIES(INFORMATION RETRIEVAL); REDUNDANCY; RELEVANCE(INFORMATION RETRIEVAL); REPRINTS; SEARCHING; SOCIAL COMMUNICATION; SYMPOSIA; Test Facilities
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517721
http://www.dtic.mil/docs/citations/ADA517721
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