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Towards a Contextual Pragmatic Model to Detect Irony in Tweets

Karoui, Jihen and Benamara, Farah and Moriceau, Véronique and Aussenac-Gilles, Nathalie and Hadrich Belguith, Lamia Towards a Contextual Pragmatic Model to Detect Irony in Tweets. (2015) In: 53rd Annual Meeting of the Association for Computational Linguistics (ACL 2015), 26 July 2015 - 31 July 2015 (Beijing, China).

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Official URL: http://dx.doi.org/10.3115/v1/P15-2106

Abstract

This paper proposes an approach to capture the pragmatic context needed to infer irony in tweets. We aim to test the validity of two main hypotheses: (1) the presence of negations, as an internal propriety of an utterance, can help to detect the disparity between the literal and the intended meaning of an utterance, (2) a tweet containing an asserted fact of the form Not(P1) is ironic if and only if one can assess the absurdity of P1. Our first results are encouraging and show that deriving a pragmatic contextual model is feasible.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACL editor.The definitive version is available at http://www.aclweb.org/anthology/P/P15/ This papers appears in Volume 2: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing The original PDF is available at: http://www.aclweb.org/anthology/P15-2106
HAL Id:hal-01334719
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université de Sfax (TUNISIA)
Other partners > Université Paris-Sud 11 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:06 Jun 2016 12:50

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