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        <title>A Computational Exploration of Exaggeration</title>
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    <name type="personal">
        <namePart type="given">Enrica</namePart>
        <namePart type="family">Troiano</namePart>
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    <name type="personal">
        <namePart type="given">Carlo</namePart>
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        <namePart type="given">Sinem</namePart>
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            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Ellen</namePart>
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            <namePart type="given">David</namePart>
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            <namePart type="given">Jun’ichi</namePart>
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    <abstract>Several NLP studies address the problem of figurative language, but among non-literal phenomena, they have neglected exaggeration. This paper presents a first computational approach to this figure of speech. We explore the possibility to automatically detect exaggerated sentences. First, we introduce HYPO, a corpus containing overstatements (or hyperboles) collected on the web and validated via crowdsourcing. Then, we evaluate a number of models trained on HYPO, and bring evidence that the task of hyperbole identification can be successfully performed based on a small set of semantic features.</abstract>
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    <identifier type="doi">10.18653/v1/D18-1367</identifier>
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        <date>2018-oct-nov</date>
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%0 Conference Proceedings
%T A Computational Exploration of Exaggeration
%A Troiano, Enrica
%A Strapparava, Carlo
%A Özbal, Gözde
%A Tekiroğlu, Serra Sinem
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F troiano-etal-2018-computational
%X Several NLP studies address the problem of figurative language, but among non-literal phenomena, they have neglected exaggeration. This paper presents a first computational approach to this figure of speech. We explore the possibility to automatically detect exaggerated sentences. First, we introduce HYPO, a corpus containing overstatements (or hyperboles) collected on the web and validated via crowdsourcing. Then, we evaluate a number of models trained on HYPO, and bring evidence that the task of hyperbole identification can be successfully performed based on a small set of semantic features.
%R 10.18653/v1/D18-1367
%U https://aclanthology.org/D18-1367/
%U https://doi.org/10.18653/v1/D18-1367
%P 3296-3304

Markdown (Informal)

[A Computational Exploration of Exaggeration](https://aclanthology.org/D18-1367/) (Troiano et al., EMNLP 2018)

• A Computational Exploration of Exaggeration (Troiano et al., EMNLP 2018)

ACL

• Enrica Troiano, Carlo Strapparava, Gözde Özbal, and Serra Sinem Tekiroğlu. 2018. A Computational Exploration of Exaggeration. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3296–3304, Brussels, Belgium. Association for Computational Linguistics.