A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives
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Abstract (arXiv)
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 linguistic theory and cognitive science, as well as its interactions with downstream NLP tasks and newly proposed multi-X irony processing perspectives.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 22 of its 98 references that are in the map. First posted on arXiv 10 Sep 2022.
Builds on
22 of 98 references.
References · 22
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10 more
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Citing papers per year: 2023: 3; 2024: 1; 2025: 2.
6 papers.
- 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 262
- 2023Through the Lens of Core Competency: Survey on Evaluation of Large Language Modelscited by 12
- 2023The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generationcited by 11
- 2025Irony Detection, Reasoning and Understanding in Zero-shot Learningcited by 5
- 2025A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directionscited by 2
- 2024"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguisecited by 0
- 2025A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directions6 Feb 2025
- 2025Irony Detection, Reasoning and Understanding in Zero-shot Learning28 Jan 2025
- 2024"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise28 Dec 2024
- 2023The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation9 Nov 2023
- 2023Through the Lens of Core Competency: Survey on Evaluation of Large Language Models15 Aug 2023
- 2023Sentiment Analysis in the Era of Large Language Models: A Reality Check24 May 2023