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1
Controlled English for Effective Communication during Coalition Operations
In: DTIC (2013)
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2
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
In: DTIC (2013)
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3
Building on Deep Learning
In: DTIC (2013)
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4
Using Target Network Modelling to Increase Battlespace Agility
In: DTIC (2013)
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5
Visualization of Decision Processes Using a Cognitive Architecture
In: DTIC (2013)
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6
Enabling Efficient Intelligence Analysis in Degraded Environments
In: DTIC (2013)
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7
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
In: DTIC (2013)
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8
C2-Simulation Interoperability in NATO
In: DTIC (2013)
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9
Insights from the Women in Combat Symposium
In: DTIC (2013)
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10
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
In: DTIC (2013)
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11
Interacting with Multi-Robot Systems Using BML
In: DTIC (2013)
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12
Making Semantic Information Work Effectively for Degraded Environments
In: DTIC (2013)
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13
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
In: DTIC (2013)
Abstract: Social media will play a key role in many areas of intelligence operations with the development of knowledge extraction analytics. The data contained within these social networking services present many challenges, but the value obtained from detecting subtle and hidden information exchanges and environmental observations are vast. The analytics that will drive social media knowledge exploitation include advanced text processing technologies allowing multi-faceted concept or frame-based queries within a familiar search engine interface for users who are not expert analysts or who may be operating with limited intelligence resources in disadvantaged information collection situations. In this paper, we demonstrate constructing frame-based semantic search queries using models of concepts and roles extracted from social media content. This approach to searching allows intuitive query formulations requiring less up-front knowledge of the search parameters. We demonstrate this semantic search capability by querying over seven million tweets captured during the Arab Spring uprisings. ; 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.
Keyword: *EGYPT UPRISINGS; *INFORMATION RETRIEVAL; *INTELLIGENCE; *INTELLIGENCE EXPLOITATION; *INTERNET; *ONLINE COMMUNITIES; *POLITICAL REVOLUTION; *SEMANTIC TEXT PROCESSING; *SEMANTICS; *SOCIAL MEDIA; *TEXT PROCESSING; ADVANCED ANALYTICS; ARAB SPRING TWEETS; ARAB SPRING UPRISINGS; BRIEFING CHARTS; Computer Systems; CONTOUR; EGYPT; EXTRACTION; FRAME-BASED SEMANTIC SEARCH QUERIES; FRAMENET-BASED SEMANTIC SEARCHING; Government and Political Science; GOVERNMENT(FOREIGN); INFORMATION EXTRACTION; Information Science; INTERACTIONS; INTERPERSONAL RELATIONS; KNOWLEDGE EXPLOITATION; Linguistics; LOW-GRADE INTELLIGENCE; Psychology; ROLES(BEHAVIOR); SITUATIONAL AWARENESS; SOCIAL NETWORKS; SYMPOSIA; TAHRIR SQUARE(EGYPT); TWITTER; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA587022
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA587022
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14
Introduction to the Words in the World Symposium
Shankar, S.. - 2013
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