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

Qingcheng Zeng, An-Ran Li


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
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