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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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.coling-1.69.pdf
Export citation
@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
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.