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        <title>Identifying Exaggerated Language</title>
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            <namePart type="given">Yang</namePart>
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    <abstract>While hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community. We contribute to the study of hyperbole by (1) creating a corpus focusing on sentence-level hyperbole detection, (2) performing a statistical and manual analysis of our corpus, and (3) addressing the automatic hyperbole detection task.</abstract>
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%0 Conference Proceedings
%T Identifying Exaggerated Language
%A Kong, Li
%A Li, Chuanyi
%A Ge, Jidong
%A Luo, Bin
%A Ng, Vincent
%Y Webber, Bonnie
%Y Cohn, Trevor
%Y He, Yulan
%Y Liu, Yang
%S Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F kong-etal-2020-identifying
%X While hyperbole is one of the most prevalent rhetorical devices, it is arguably one of the least studied devices in the figurative language processing community. We contribute to the study of hyperbole by (1) creating a corpus focusing on sentence-level hyperbole detection, (2) performing a statistical and manual analysis of our corpus, and (3) addressing the automatic hyperbole detection task.
%R 10.18653/v1/2020.emnlp-main.571
%U https://aclanthology.org/2020.emnlp-main.571
%U https://doi.org/10.18653/v1/2020.emnlp-main.571
%P 7024-7034

Markdown (Informal)

[Identifying Exaggerated Language](https://aclanthology.org/2020.emnlp-main.571) (Kong et al., EMNLP 2020)

• Identifying Exaggerated Language (Kong et al., EMNLP 2020)

ACL

• Li Kong, Chuanyi Li, Jidong Ge, Bin Luo, and Vincent Ng. 2020. Identifying Exaggerated Language. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7024–7034, Online. Association for Computational Linguistics.