A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives

Qingcheng Zeng; An-Ran Li

A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives

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Abstract

Irony is a ubiquitous figurative language in daily communication. Previously, many researchers have approached irony from linguistic, cognitive science, and computational aspects. Recently, some progress have been witnessed in automatic irony processing due to the rapid development in deep neural models in natural language processing (NLP). In this paper, we will provide a comprehensive overview of computational irony, insights from linguisic theory and cognitive science, as well as its interactions with downstream NLP tasks and newly proposed multi-X irony processing perspectives.

Anthology ID:: 2022.coling-1.69
Volume:: Proceedings of the 29th International Conference on Computational Linguistics
Month:: October
Year:: 2022
Address:: Gyeongju, Republic of Korea
Editors:: Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na
Venue:: COLING
SIG:
Publisher:: International Committee on Computational Linguistics
Note:
Pages:: 824–836
Language:
URL:: https://aclanthology.org/2022.coling-1.69/
DOI:
Bibkey:
Cite (ACL):: Qingcheng Zeng and An-Ran Li. 2022. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives. In Proceedings of the 29th International Conference on Computational Linguistics, pages 824–836, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):: A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives (Zeng & Li, COLING 2022)
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PDF:: https://aclanthology.org/2022.coling-1.69.pdf

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@inproceedings{zeng-li-2022-survey,
    title = "A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-{X} Perspectives",
    author = "Zeng, Qingcheng  and
      Li, An-Ran",
    editor = "Calzolari, Nicoletta  and
      Huang, Chu-Ren  and
      Kim, Hansaem  and
      Pustejovsky, James  and
      Wanner, Leo  and
      Choi, Key-Sun  and
      Ryu, Pum-Mo  and
      Chen, Hsin-Hsi  and
      Donatelli, Lucia  and
      Ji, Heng  and
      Kurohashi, Sadao  and
      Paggio, Patrizia  and
      Xue, Nianwen  and
      Kim, Seokhwan  and
      Hahm, Younggyun  and
      He, Zhong  and
      Lee, Tony Kyungil  and
      Santus, Enrico  and
      Bond, Francis  and
      Na, Seung-Hoon",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.69/",
    pages = "824--836",
    abstract = "Irony is a ubiquitous figurative language in daily communication. Previously, many researchers have approached irony from linguistic, cognitive science, and computational aspects. Recently, some progress have been witnessed in automatic irony processing due to the rapid development in deep neural models in natural language processing (NLP). In this paper, we will provide a comprehensive overview of computational irony, insights from linguisic theory and cognitive science, as well as its interactions with downstream NLP tasks and newly proposed multi-X irony processing perspectives."
}

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%0 Conference Proceedings
%T A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
%A Zeng, Qingcheng
%A Li, An-Ran
%Y Calzolari, Nicoletta
%Y Huang, Chu-Ren
%Y Kim, Hansaem
%Y Pustejovsky, James
%Y Wanner, Leo
%Y Choi, Key-Sun
%Y Ryu, Pum-Mo
%Y Chen, Hsin-Hsi
%Y Donatelli, Lucia
%Y Ji, Heng
%Y Kurohashi, Sadao
%Y Paggio, Patrizia
%Y Xue, Nianwen
%Y Kim, Seokhwan
%Y Hahm, Younggyun
%Y He, Zhong
%Y Lee, Tony Kyungil
%Y Santus, Enrico
%Y Bond, Francis
%Y Na, Seung-Hoon
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F zeng-li-2022-survey
%X Irony is a ubiquitous figurative language in daily communication. Previously, many researchers have approached irony from linguistic, cognitive science, and computational aspects. Recently, some progress have been witnessed in automatic irony processing due to the rapid development in deep neural models in natural language processing (NLP). In this paper, we will provide a comprehensive overview of computational irony, insights from linguisic theory and cognitive science, as well as its interactions with downstream NLP tasks and newly proposed multi-X irony processing perspectives.
%U https://aclanthology.org/2022.coling-1.69/
%P 824-836

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Markdown (Informal)

[A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives](https://aclanthology.org/2022.coling-1.69/) (Zeng & Li, COLING 2022)

A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives (Zeng & Li, COLING 2022)

ACL

Qingcheng Zeng and An-Ran Li. 2022. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives. In Proceedings of the 29th International Conference on Computational Linguistics, pages 824–836, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.