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21
A Multi-Classifier Based Guideline Sentence
In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/d5/b8/Healthc_Inform_Res_2011_Dec_31_17(4)_224-231.tar.gz (2011)
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22
Joint Terminology: At the Heart of Doctrine
In: DTIC (2011)
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23
Categorical Information Theory
In: DTIC (2011)
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24
Estudo comparativo entre as linguagens procedurais PL/SQL e PL/pgSQL aplicadas aos bancos de dados Oracle 10g XE e PostgreSQL 8.4
Silva, Murilo André da. - : Universidade Tecnológica Federal do Paraná, 2011. : Medianeira, 2011
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25
Modèle de structuration des relations lexicales fondé sur le formalisme des fonctions lexicales
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26
Machine Learning Techniques for Persuasion Detection in Conversation
In: DTIC (2010)
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27
Intelligence after Intellipedia: Improving the Push Pull Balance with a Social Networking Utility
In: DTIC (2010)
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28
Intelligence and Information: The Proliferation of Uncertainty
In: DTIC (2010)
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29
Coreference Resolution With Reconcile
In: DTIC (2010)
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30
Modèle de structuration des relations lexicales fondé sur le formalisme des fonctions lexicales
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31
Connotative Meaning of Military Chat Communications
In: DTIC (2009)
Abstract: Automatic processing of military chat text in operational environments will be necessary to provide automated data collection, collation, and usage for tactical updates, post-mission operational analysis, and watch turnover. The informal nature of chat communications allows the relay of far more information than the technical content of messages. This AFRL in-house project combined components of the methodology applied in a Syracuse University project for IARPA's AQUAINT program with additional research activities to analyze databases of military chat. The project proposed to conduct a study of how humans recognize connotative cues expressing uncertainty, perception of personal threat, and urgency; formulate linguistic and non-linguistic means for recognizing such cues; develop algorithms to automatically perform that recognition, and evaluate the prototype recognition algorithms. The project built a matrix of speech "cues" representative of uncertainty, perception of personal threat, and urgency, but also applied maximum entropy analysis and a combined rule-based/statistical algorithm. Recall, precision and F-score measures for each methodology were determined. ; The original document contains color images.
Keyword: *INFORMATION PROCESSING; *LINGUISTICS; *MILITARY APPLICATIONS; *RADIOTELEPHONES; *TEXT CHAT; *TEXTING; ALGORITHMS; DATA ACQUISITION; DATA BASES; ENTROPY; Information Science; Linguistics; METHODOLOGY; PE61102F; PROCESSING; PROTOTYPES; RECOGNITION; UNCERTAINTY; WUAFRL230B8DAH
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA506307
http://www.dtic.mil/docs/citations/ADA506307
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32
Portable Language-Independent Adaptive Translation from OCR
In: DTIC (2009)
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33
Long Term Examination of Intra-Session and Inter-Session Speaker Variability
In: DTIC (2009)
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34
Deployment Family Stress: Child Neglect and Maltreatment in U.S. Army Families
In: DTIC (2009)
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35
Patent Retrieval in Chemistry based on Semantically Tagged Named Entities
In: DTIC (2009)
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36
CEMAP II: An Architecture and Specifications to Facilitate the Importing of Real-World Data into the CASOS Software Suite
In: DTIC (2008)
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37
IIT Kharagpur at TREC 2008 Blog Track
In: DTIC (2008)
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38
Enabling Bottom-Up Intelligence Reporting
In: DTIC (2008)
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39
A Prototype of Multilevel Data Integration in the MYSEA Testbed
In: DTIC (2007)
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40
Assessment of Breadth and Utility of India's Research Literature (2005-2006)
In: DTIC (2007)
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