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# Who cites «How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature»

4 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/joshi-2016-how-challenging-is-sarcasm-versus/)

1. [Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection](https://aclanthology.org/2025.findings-emnlp.1308/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
2. [A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives](https://md.mova.elamur.ai/free/en/docs/papers/zeng-2022-survey-automatic-irony-processing-linguistic/) *— our card · 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
3. [BERT''s The Word : Sarcasm Target Detection using BERT](https://aclanthology.org/2021.alta-1.21/) *— 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association*
4. [WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony](https://aclanthology.org/S18-1090/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
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