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Key Discovery for Numerical Data: Application to Oenological Practices
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In: 22th International Conference on Graph-Based Representation and Reasoning ; ICCS: International Conference on Conceptual Structures ; https://hal.archives-ouvertes.fr/hal-01837440 ; ICCS: International Conference on Conceptual Structures, Jul 2016, Annecy, France. pp.222-236, ⟨10.1007/978-3-319-40985-6_17⟩ ; https://www.irit.fr/ICCS2016/ (2016)
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KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language
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In: Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference ; https://hal.inria.fr/hal-01389390 ; Proceedings of the European Conference on Artificial Intelligence (ECAI) 2016 conference, Aug 2016, The Hague, Netherlands (2016)
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Evaluating Lexical Similarity to build Sentiment Similarity
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In: Proceedings of the Language and Resource Conference, LREC ; Language and Resource Conference, LREC ; https://hal.archives-ouvertes.fr/hal-01394768 ; Language and Resource Conference, LREC, May 2016, portoroz, Slovenia (2016)
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Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output
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In: Kummerfeld, Jonathan Kay. (2016). Algorithms for Identifying Syntactic Errors and Parsing with Graph Structured Output. UC Berkeley: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/242120m5 (2016)
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Biomedical term extraction: overview and a new methodology
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In: ISSN: 1386-4564 ; EISSN: 1573-7659 ; Information Retrieval Journal ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01274539 ; Information Retrieval Journal, Springer, 2016, Medical Information Retrieval, 19 (1), pp.59-99. ⟨10.1007/s10791-015-9262-2⟩ (2016)
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Comparative Studies on Using Semantic Filtering for Open Relation Identification
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In: Meeting Security Challenges Through Data Analytics and Decision Support ; https://hal.archives-ouvertes.fr/hal-01845217 ; Meeting Security Challenges Through Data Analytics and Decision Support, 47, pp.69-77, 2016, ⟨10.3233/978-1-61499-716-0-69⟩ (2016)
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A Pragma-Semantic Analysis of the Emotion/Sentiment Relation in Debates
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In: 4th International Workshop on Artificial Intelligence and Cognition ; https://hal.inria.fr/hal-01342438 ; 4th International Workshop on Artificial Intelligence and Cognition, Jul 2016, New York, United States (2016)
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Graph-FCA in Practice
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In: International Conference on Conceptual Structures (ICCS) ; https://hal.inria.fr/hal-01405491 ; International Conference on Conceptual Structures (ICCS), Jul 2016, Annecy, France. pp.107 - 121, ⟨10.1007/978-3-319-40985-6_9⟩ (2016)
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Proceedings of the 7th Workshop on Computational Models of Narrative
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In: 7th Workshop on Computational Models of Narrative (CMN 2016) ; https://hal.inria.fr/hal-01427217 ; 7th Workshop on Computational Models of Narrative (CMN 2016), Jul 2016, Cracovie, Poland. 53, 2016, OASICS, 978-3-95977-020-0 ; http://drops.dagstuhl.de/portals/oasics/index.php?semnr=16021 (2016)
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La subjectivité artificielle. Ébauche d'un programme de recherche
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In: https://hal.archives-ouvertes.fr/hal-01137849 ; 2016 (2016)
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Visual Analysis of Text Annotations for Stance Classification with ALVA ...
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Applications of text analytics in the intelligence community
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Shades of gray: releasing the cognitive binds that blind us
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Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
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Applications of Text Analytics in the Intelligence Community
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Assessing the Value of Structured Analytic Techniques in the U.S. Intelligence Community
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Abstract:
The Intelligence Community (IC) is strongly emphasizing the use of structured analytic techniques (SATs) to promote rigorous analysis, lessen the risk of intelligence failure, and make analysts reasoning more transparent to consumers. So far, however, the IC has made little effort to assess whether SATs in general or specific SATs are improving the quality of analysis. One primarily qualitative method of evaluating these techniques would be periodic in-depth reviews of IC production on a variety of topics to ascertain how frequently SATs are used, whether they advance the attainment of IC analytic quality standards, and which specific SATs are most effective. RANDs preliminary SAT review of a limited sample of Central Intelligence Agency (CIA), Defense Intelligence Agency (DIA), and National Intelligence Council (NIC) publications finds that the minority of them employing SATs addressed a broader range of potential outcomes and implications than did other analyses, although the logic behind specific techniques was not always transparent. More-comprehensive SAT reviews, along with interviews of analysts, managers, and consumers, could determine how effectively IC agencies are employing SATs and compile lessons learned on best practices and pitfalls of their use in intelligence analysis. In addition, quantitative research could examine the extent to which the use or nonuse of SATs correlates with the quality of analytic output as measured by the Office of the Director of National Intelligences (ODNIs) Office of Analytic Integrity and Standards and by individual agencies, while controlled experiments could test the use of SATs under conditions similar to those prevailing in the IC.
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Keyword:
accuracy; analysts; Central Intelligence Agency; Defense IntelligenceAgency; failure analysis; intelligence analysis; intelligence community (united states); lessons learned; mental processes; Military Intelligence; National Intelligence Council; national security; negotiations; pilot studies; problem solving; reasoning; risk analysis; structured analytic techniques; thinking; training; united states government
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URL: http://www.dtic.mil/docs/citations/AD1024447 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD1024447
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The Importance of Why: An Intelligence Approach for a Multi-Polar World
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