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1
Bayesian natural language semantics and pragmatics
Zeevat, Henk; Schmitz, Hans-Christian. - Cham [u.a.] : Springer, 2015
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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2
Использование компьютерных программ, основанных на лингвистическом анализе ложной информации (обзор зарубежного исследования)
ХОЛЕВЧУК А.Г.. - : Общество с ограниченной ответственностью «Коллоквиум», 2015
BASE
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3
Интерактивная компьютерная программа по развитию описательной связной речи для детей и взрослых с речевой патологией
ИВАНОВА НАТАЛИЯ НИКОЛАЕВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего образования «Удмуртский государственный университет», 2015
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4
Non-linear Second order Abstract Categorial Grammars and deletion
In: NLCS 2015: Natural Language and Computer Science ; https://hal.archives-ouvertes.fr/hal-01251127 ; NLCS 2015: Natural Language and Computer Science, Makoto Kanazawa, 2015, Kyoto, Japan (2015)
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5
The Impact of the Use of Dynamic Software as a Teaching Tool in Geometry
Bouffard, Jason L., 1983-. - : Central Connecticut State University, 2015
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6
Program Design: The Learner Path
In: Research Briefs and Case Studies (2015)
BASE
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7
Program Design: Volunteering in a Digital Literacy Program
In: Research Briefs and Case Studies (2015)
BASE
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8
Program Design: Tutor-Facilitated Digital Literacy Acquisition
In: Research Briefs and Case Studies (2015)
BASE
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9
Program Design: Learning Digital Skills in a Corrections Setting
In: Research Briefs and Case Studies (2015)
BASE
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10
Program Design: Learning Digital Skills in a Time-limited Program
In: Research Briefs and Case Studies (2015)
BASE
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11
Dependency Tree Annotation Software
In: DTIC (2015)
BASE
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12
Exploring Social Meaning in Online Bilingual Text through Social Network Analysis
In: DTIC (2015)
BASE
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13
Crowdsourcing Intelligence to Combat Terrorism: Harnessing Bottom-Up Collection to Prevent Lone-Wolf Terror Attacks
In: DTIC (2015)
Abstract: U.S. officials have acknowledged that attackers of the lone-wolf and isolated-cell organizational type are on the rise and now pose a greater threat than major coordinated actions. Traditional intelligence methods, using a top-down approach with an emphasis on signals intelligence, are ill-equipped to identify and prevent terrorists using lone-wolf tactics. Crowdsourcing, as a problem-solving technique, is a relatively new idea but has shown great promise in tackling issues similar to the identification of lone-wolf terrorists. At its core, crowdsourcing is a method for thousands or even millions of people to contribute their knowledge, expertise, or skills towards a unified task. Done correctly, it has produced results unachievable by traditional tasking of humans or computers. This thesis identifies how the signals surrounding lone-wolf attacks are different and more subtle in nature from those mounted by organized terror groups. In turn, the thesis examines the potential benefits of crowdsourcing intelligence in order to strengthen the U.S. intelligence community s ability to approach this emerging problem of lone-wolf terrorism. In short, this thesis proposes that the U.S. intelligence community harness the power of U.S. citizens to help prevent identify the subtle indictors presented by lone-wolf terrorists in order to prevent lone-wolf terrorist attacks.
Keyword: *COLLABORATIVE TECHNIQUES; *COMMUNITY RELATIONS; *COUNTERTERRORISM; *ONLINE COMMUNITIES; *PREVENTION; BIG DATA; CITIZEN PARTICIPATION; CIVILIAN POPULATION; COMPUTER PROGRAMS; CROWDSOURCING; DATA MINING; DEMOGRAPHY; DISTRIBUTED NETWORKS; DOMESTIC TERRORISM; GROUP DYNAMICS; HUMAN INTELLIGENCE; IDENTIFICATION; INFORMATION EXCHANGE; INTERNET; LONE-WOLF; Military Intelligence; Psychology; SIGINT(SIGNALS INTELLIGENCE); SOCIAL PSYCHOLOGY; Sociology and Law; SOCMINT(SOCIAL MEDIA INTELLIGENCE); STATISTICAL ANALYSIS; THESES; THREATS
URL: http://www.dtic.mil/docs/citations/ADA620622
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA620622
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14
Auditory Perception in an Open Space: Detection and Recognition
In: DTIC (2015)
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15
Learning to Understand Natural Language with Less Human Effort
In: DTIC (2015)
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16
Automated Essay Scoring: A Literature Review
In: Working Papers in Applied Linguistics and TESOL, Vol 11, Iss 2, Pp 40-64 (2015) (2015)
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