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1
Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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2
The Impact of Name-Matching and Blocking on Author Disambiguation
In: Proceedings of the 27th ACM Conference on Information and Knowledge Management ; 803-812 ; ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge" ; 27 (2018)
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3
Principles of content analysis for information retrieval systems: an overview
In: Text analysis and computers ; 1 ; ZUMA-Nachrichten Spezial ; 76-99 ; Text Analysis and Computers Conference (2017)
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4
A Hybrid Approach to Clinical Question Answering
In: DTIC (2014)
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5
Towards a Simple and Efficient Web Search Framework
In: DTIC (2014)
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6
K2U at TREC 2014 KBA Track
In: DTIC (2014)
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7
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
In: DTIC (2014)
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8
Modelling Psychological Needs for User-dependent Contextual Suggestion
In: DTIC (2014)
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9
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
In: DTIC (2013)
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10
Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
In: DTIC (2013)
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11
Making Semantic Information Work Effectively for Degraded Environments
In: DTIC (2013)
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12
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
In: DTIC (2013)
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13
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
In: DTIC (2012)
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14
Adding a Capability to Extract Sentiment from Text Using HanDles
In: DTIC (2012)
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15
Horizontal Integration of Warfighter Intelligence Data: A Shared Semantic Resource for the Intelligence Community
In: DTIC (2012)
Abstract: We describe a strategy that is being used for the horizontal integration of warfighter intelligence data within the framework of the US Army's Distributed Common Ground System Standard Cloud (DSC) initiative. The strategy rests on the development of a set of ontologies that are being incrementally applied to bring about what we call the 'semantic enhancement' of data models used within each intelligence discipline. We show how the strategy can help to overcome familiar tendencies to stovepiping of intelligence data, and describe how it can be applied in an agile fashion to new data resources in ways that address immediate needs of intelligence analysts. ; Preprint, to be presented at Semantic Technology for Inteliigence, Defense, and Security (STIDS 2012), George Mason Univ, Fairfax, VA October 24-25, 2012. The original document contains color images.
Keyword: *INFORMATION RETRIEVAL; *INTELLIGENCE; HORIZONTAL INTEGRATION; INFORMATION EXCHANGE; Information Science; INTEGRATION; INTELLIGENCE ANALYTICS; INTELLIGENCE DATA RETRIEVAL; JOINT DOCTRINE; Military Intelligence; ONTOLOGY; SEMANTIC ENHANCEMENT; SEMANTICS
URL: http://www.dtic.mil/docs/citations/ADA568763
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA568763
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16
SAWUS: Siena's Automatic Wikipedia Update System
In: DTIC (2012)
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17
CSSG: Learning within NLP Pipelines for Scalable Data Mining and Information Extraction
In: DTIC (2011)
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18
Entity List Completion Using Set Expansion Techniques
In: DTIC (2011)
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19
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
In: DTIC (2010)
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20
Analysis of Discourse Accent and Discursive Practices I&W
In: DTIC (2010)
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