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    • Basile, Valerio (2)
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    • Cabrio, Elena (2)
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    • Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS) (2)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 KNEWS: Using Logical and Lexical Semantics to Extract Knowledge from Natural Language Basile, Valerio; Cabrio, Elena; Schon, Claudia 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) BASE Show details 2 A Pragma-Semantic Analysis of the Emotion/Sentiment Relation in Debates Basile, Valerio; Cabrio, Elena; Villata, Serena; Frasson, Claude; Gandon, Fabien 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) 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. 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 URL: https://hal.inria.fr/hal-01342438/file/AIC2016.pdf https://hal.inria.fr/hal-01342438 https://hal.inria.fr/hal-01342438/document BASE Hide details

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