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# Who cites «We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter»

14 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/hee-2018-we-usually-don-t-like/)

1. [Irony Detection in Hebrew Documents: A Novel Dataset and an Evaluation of Neural Classification Methods](https://md.mova.elamur.ai/free/en/docs/papers/prag-2025-shmidman-irony-detection-hebrew-documents-novel/) *— our card · 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
2. [Irony Detection, Reasoning and Understanding in Zero-shot Learning](https://arxiv.org/abs/2501.16884) *— 2025 · arXiv:2501.16884*
3. [Human and System Perspectives on the Expression of Irony: An Analysis of Likelihood Labels and Rationales](https://aclanthology.org/2024.lrec-main.734/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [When Do ``More Contexts'' Help with Sarcasm Recognition?](https://aclanthology.org/2024.lrec-main.1525/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
5. [Prompt Tuning with Contradictory Intentions for Sarcasm Recognition](https://aclanthology.org/2023.eacl-main.25/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
6. [A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict](https://aclanthology.org/2022.findings-naacl.126/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
7. [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*
8. [A Survey on Automated Sarcasm Detection on Twitter](https://arxiv.org/abs/2202.02516) *— 2022 · arXiv:2202.02516*
9. [LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis](https://aclanthology.org/2020.semeval-1.153/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
10. [R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://aclanthology.org/2020.acl-main.711/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
11. [Sarcasm Detection Using an Ensemble Approach](https://aclanthology.org/2020.figlang-1.36/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
12. [Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension](https://arxiv.org/abs/1904.09679) *— 2019 · arXiv:1904.09679*
13. hee-2021-exploring-implicit-sentiment-evoked-fine
14. hoste-2020-fine-grained-sentiment-analysis-piece
- [← previous Who cites «Monday mornings are my fave :) \#not Exploring the Automatic Recognition of Irony in English tweets»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/hee-2016-monday-mornings-are-my-fave/)
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