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42.2 AMYGDALA PERFUSION IS ASSOCIATED WITH AUDITORY VERBAL HALLUCINATIONS WITH EMOTIONAL CONTENT IN SCHIZOPHRENIA PATIENTS
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24.2 NATURAL LANGUAGE PROCESSING STUDIES OF PSYCHOSIS AND ITS RISK STATES
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24.3 EARLY MARKERS OF THOUGHT DISORGANIZATION IN SPEECH STRUCTURE
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24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY
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Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2014)
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Biological Information Processing in Single Microtubules
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In: DTIC (2014)
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Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC.
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Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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Visualization of Decision Processes Using a Cognitive Architecture
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In: DTIC (2013)
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Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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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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Insights from the Women in Combat Symposium
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In: DTIC (2013)
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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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Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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