27 research outputs found

    WLV at SemEval-2018 task 3: Dissecting tweets in search of irony

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    International Workshop on Semantic Evaluation. WLV at SemEval-2018 Task 3.This paper describes the systems submitted to SemEval 2018 Task 3 “Irony detection in English tweets” for both subtasks A and B. The first system leveraging a combination of sentiment, distributional semantic, and text surface features is ranked third among 44 teams according to the official leaderboard of the subtask A. The second system with slightly different representation of the features ranked ninth in subtask B. We present a method that entails decomposing tweets into separate parts. Searching for contrast within the constituents of a tweet is an integral part of our system. We embrace an extensive definition of contrast which leads to a vast coverage in detecting ironic content.Research Group in Computational Linguistic

    Irony as Expression (of a Sense of the Absurd)

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    Situational irony is, first, explained as a severe violation of one or more established, non-moral norms; such violation constitutes that situation’s absurdity. The classical “inversion” theory of communicative irony associated with Cicero and Quintilian, as well as its refinement in terms of the notion of conversational implicature (Grice 1989), are then shown to be inadequate.The echoic (Sperber (1984), Wilson (2006), Wilson & Sperber (2012)) and pretence (Currie 2010) theories are also shown to fail to account for the broad range of communicative irony, although they each contain valuable insights. Further, both theories hold that ironic speakers express attitudes but do not explain how they do so. On the basis of prior work by Green conceptualizing the notion of expression as signaling and showing a psychological state, we defend a view of communicative irony as expressing a sense of a situation’s absurdity. The view generalizes beyond absurdity to encompass expression of a sense of situations’ silliness, wackiness, or goofiness, and accommodates milder forms of irony such as we find in meiosis

    SemEval-2018 task 3 : irony detection in English tweets

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    This paper presents the first shared task on irony detection: given a tweet, automatic natural language processing systems should determine whether the tweet is ironic (Task A) and which type of irony (if any) is expressed (Task B). The ironic tweets were collected using irony-related hashtags (i.e. #irony, #sarcasm, #not) and were subsequently manually annotated to minimise the amount of noise in the corpus. Prior to distributing the data, hashtags that were used to collect the tweets were removed from the corpus. For both tasks, a training corpus of 3,834 tweets was provided, as well as a test set containing 784 tweets. Our shared tasks received submissions from 43 teams for the binary classification Task A and from 31 teams for the multiclass Task B. The highest classification scores obtained for both subtasks are respectively F1= 0.71 and F1= 0.51 and demonstrate that fine-grained irony classification is much more challenging than binary irony detection

    Raymond W. Gibbs – Herbert L. Colston, Irony in Language and Thought. A Cognitive Science Reader, Lawrence Erlbaum, New York, 2007, pp. 607

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    For a long time irony has been considered as an antiphrastic mechanism, as saying the opposite of what you mean. The book Irony in Language and Thought. A Cognitive Science Reader (2007), edited by Gibbs and Colston, aims at giving a more complex picture of the studies on this rhetorical figure, by highlighting not only the alternative linguistic theories, but also the cognitive processes involved in irony comprehension. Irony is the overthrow of perspective which opens new alternatives in thought, when reality does not completely satisfy our expectations.L'ironia Ăš stata a lungo vista come un meccanismo antifrastico, come dire il contrario di ciĂČ che pensa. Il libro Irony in Language and Thought. A Cognitive Science Reader (2007), edito da Gibbs e Colston, si propone di dare un'immagine piĂč complessa degli studi su questa figura retorica, che metta in luce non solo le alternative teoriche di stampo linguistico, ma anche i processi cognitivi coinvolti nella comprensione dell'ironia. L'ironia Ăš un rovesciamento di prospettiva che apre nuove alternative di pensiero, di fronte ad una realtĂ  che non soddisfa pienamente le nostre aspettative

    From humor recognition to Irony detection: The figurative language of social media

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    [EN] The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused on describing a model for recognizing these phenomena in social media, such as "tweets". Our experiments are centered on five data sets retrieved from Twitter taking advantage of user-generated tags, such as "#humor" and "#irony". The model, which is based on textual features, is assessed on two dimensions: representativeness and relevance. The results, apart from providing some valuable insights into the creative and figurative usages of language, are positive regarding humor, and encouraging regarding irony. (C) 2012 Elsevier B.V. All rights reserved.This work has been done in the framework of the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems and it has been partially funded by the European Commission as part of the WIQEI IRSES project (grant no. 269180) within the FP 7 Marie Curie People Framework, and by MICINN as part of the Text-Enterprise 2.0 project (TIN2009-13391-C04-03) within the Plan I + D + I. The National Council for Science and Technology (CONACyT - Mexico) has funded the research work of Antonio Reyes.Reyes PĂ©rez, A.; Rosso, P.; Buscaldi, D. (2012). From humor recognition to Irony detection: The figurative language of social media. Data and Knowledge Engineering. 74:1-12. https://doi.org/10.1016/j.datak.2012.02.005S1127

    The review of the socio-political fiction novels under binary opposition and logocentrism (case study of novel entitled "Orang-Orang Proyek" by Ahmad Tohari)

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    The socio-political fiction novel is real and presents an implicit portray of the community's social life of a dwell. This sort of literature is less prevalent because every reader might have their perception while the authors favor particular value according to their social and mental experiences. An Indonesian novel entitled "Orang-Orang Proyek" by Ahmad Tohari, which represents the real condition of the Indonesian community under their political and social situations, is a perfect portray to describe the relation between binary opposition and logocentrism. Both theories will affect the author how they describe each character, even decide how the story ends. This paper tries to break down that literary work using the deconstructive-reading method to read a text with multi-interpretation where the version contains many probabilities of meaning. This study will provide insight into the correct reading method according to the purpose and type of literacy used in literary works

    Vous trouvez cela drĂŽle ? Ironie et jeux relationnels dans une musique de fĂȘte en Roumanie

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    Cet article dĂ©crit comment un genre musical – la manea – incite ses amateurs Ă  des jeux relationnels empreints d’ironie. Il entend ainsi contribuer Ă  la description de ce style de musique, d’apparition relativement rĂ©cente et dont l’ethnographie reste parcellaire. Son objectif est aussi de contribuer Ă  la comprĂ©hension de l’ironie, en tant que phĂ©nomĂšne cognitif. Il propose d’étudier celle-ci aux limites entre musique et langage parlĂ©, et Ă  partir d’interactions rĂ©elles. L’intĂ©rĂȘt pragmatique de l’ironie musicale est abordĂ© dans la conclusion. À partir des propositions de M. Houseman pour l’analyse des rituels, il est suggĂ©rĂ© que la manea ouvre un espace similaire de configuration des relations durables entre les participants
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