---
title: "Who cites We Usually Don't Like Going to the Dentist…"
description: "The papers of the Elamur Research library that cite «We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter», found in…"
canonical: "https://research.elamur.ai/free/en/papers/hee-2018-we-usually-don-t-like/cited-by/"
---
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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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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. [Exploring Implicit Sentiment Evoked by Fine-grained News Events](https://aclanthology.org/2021.wassa-1.15/) *— 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
10. [Fine-grained sentiment analysis: a piece of cake?](https://aclanthology.org/2020.clicit-1.2/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
11. [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*
12. [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*
13. [Sarcasm Detection Using an Ensemble Approach](https://aclanthology.org/2020.figlang-1.36/) *— 2020 · Proceedings of the Second Workshop on Figurative Language Processing*
14. [Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension](https://arxiv.org/abs/1904.09679) *— 2019 · arXiv:1904.09679*