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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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Abstract:
International audience ; In the last years, emotions recognition tools have become more and more popular, aiming at detecting the emotions of human actors while performing different intelligent tasks by means of headsets and facial emotions detection tools. In addition to this kind of technology , when participants interact with each others by means of tex-tual exchanges, sentiment analysis techniques, from the natural language processing research area, are exploited to detect the polarity of the exchanged messages. Investigating how these two connected components interacts and can support each other towards a better emotions and sentiment detection is a relevant but unexplored research challenge. In this paper, we start from a dataset of debate interactions annotated with the emotions of the involved participants, captured by means of EEG headsets and a facial emotions recognition tool, and the argumentative structures of the debates, and we compare this information to the polarity of the proposed textual arguments, retrieved through a sentiment analysis algorithm. A pragma-semantic analysis of the obtained results is provided, along with a discussion of the potential future work.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Argument Mining; Sentiment Analysis
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URL: https://hal.inria.fr/hal-01342438/file/AIC2016.pdf
https://hal.inria.fr/hal-01342438
https://hal.inria.fr/hal-01342438/document
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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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The Importance of Why: An Intelligence Approach for a Multi-Polar World
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