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Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

DOI: 10.3115/v1/p15-2106

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Towards a Contextual Pragmatic Model to Detect Irony in Tweets

Proceedings article published in 2015 by Jihen Karoui, F. B. Zitoune, Farah Benamara, Véronique Moriceau, Nathalie Aussenac-Gilles ORCID, L. H. Belguith, Lamia Hadrich-Belguith
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.