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# Who cites «A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives»

10 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/zeng-2022-survey-automatic-irony-processing-linguistic/)

1. [A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://aclanthology.org/2025.findings-naacl.208/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
2. [Irony Detection, Reasoning and Understanding in Zero-shot Learning](https://arxiv.org/abs/2501.16884) *— 2025 · arXiv:2501.16884*
3. [When Figures Speak with Irony: Investigating the Role of Rhetorical Figures in Irony Generation with LLMs](https://aclanthology.org/2025.clicit-1.7/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
4. [I''m sure you''re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models](https://aclanthology.org/2024.findings-emnlp.847/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
5. [Sentiment Analysis in the Era of Large Language Models: A Reality Check](https://arxiv.org/abs/2305.15005) *— 2023 · arXiv:2305.15005*
6. [The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation](https://aclanthology.org/2023.findings-emnlp.444/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
7. [Through the Lens of Core Competency: Survey on Evaluation of Large Language Models](https://arxiv.org/abs/2308.07902) *— 2023 · arXiv:2308.07902*
8. meunier-2023-classification-de-tweets-en-situation
9. naganna-2025-my-life-is-miserable-have
10. zhang-2024-sentiment-analysis-era-large-language
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