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The Rhetorical Challenge of Whiteness within Blackboard for African American Bidialectal Students at Elizabeth City State University
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| 66 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 67 |
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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Abstract:
Automated extraction of social network-related data is one objective of the applied research project on Social Network Analysis (SNA) in a Counter-Insurgency context (SNAC) at DRDC Valcartier. Since the vast majority of the information resides in unstructured text documents, the prototype must be able to extract social network-related data directly from them. For these tasks, the prototype leverages and refines existing services provided by the Intelligence Science & Technology Integration Platform (ISTIP) at DRDC Valcartier. These services rely on ontologies to perform document annotation and to semantically characterize the data to be persisted. Given a list of a priori known instances of entities like people, organizations, and events, the system constructs the social web that ties these entities together. To do so, on a continuous basis, documents are fed via a data source crawling service that scans existing databases and returns new documents. Then, using natural language processing services, the system scans these incoming documents, extracts information about entities as well as their relations and their respective attributes, and stores this information in a graph database. The system also provides basic and semantic filtering services as well as conversion to many formats. ; Presented at the 18th International Command and Control Research and Technology Symposium (ICCRTS) C2 in Underdeveloped, Degraded and Denied Operational Environments held in Alexandria, VA, on 19-21 June 2013. U.S. Government or Federal Rights License.
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Keyword:
*AUTOMATED EXTRACTION; *AUTOMATION; *COUNTERINSURGENCY; *DATA MINING; *DOCUMENTS; *EXTRACTION; *INTELLIGENCE; *ONTOLOGY; *SOCIAL NETWORK ANALYSIS; *SOCIAL NETWORK DATA ANALYSIS; *SOCIAL NETWORK DATA EXTRACTION; *UNSTRUCTURED TEXT DOCUMENTS; CANADA; Computer Programming and Software; COMPUTER PROGRAMS; COVERT NETWORKS; Cybernetics; DATA ACQUISITION; DATA BASES; DATA PROCESSING; FOREIGN REPORTS; GRAPHS; INFORMATION EXTRACTION; INTERACTIONS; INTERPERSONAL RELATIONS; Linguistics; Military Intelligence; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; NETWORKS; PROTOTYPES; Psychology; SEMANTICS; SENSEMAKING; SYMPOSIA; TEMPLATES; TEXT BASED TEMPLATES
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA587890
http://www.dtic.mil/docs/citations/ADA587890
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| 68 |
Performance Evaluation of a Semantic Perception Classifier
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In: DTIC (2013)
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| 71 |
A Method for Correcting Broken Hyphenations in Noisy English Text
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In: DTIC (2012)
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| 72 |
Integration of Technology Into the Classroom: Effects on reading comprehension
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In: Research Papers (2012)
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| 74 |
Proposal to adapt computer programs assessment processes and computational linguistics tools to support evaluation of documents written in natural language as a result of learning tasks
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In: Inted2012: International Technology, Education And Development Conference [ISSN 2340-1079], p. 3344-3349 (2012)
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| 77 |
Krivine machines and higher-order schemes
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In: https://hal.inria.fr/inria-00589407 ; [Research Report] 2011, pp.17 (2011)
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| 78 |
Composite artistry meets facial recognition technology : exploring the use of facial recognition technology to identify composite images
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| 80 |
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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