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A Report on the 2020 Sarcasm Detection Shared Task

arXiv 2005.05814 ↗First posted 12 May 2020cs.CL cs.LGcited by 23

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Abstract (arXiv)

Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing. As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area. We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang 2020) at ACL 2020.

Key facts. Cited by 23 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2020.

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Citing papers per year: 2021: 4; 2022: 9; 2023: 3; 2024: 2; 2025: 3; 2026: 2.

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  1. 2022Hate Speech and Counter Speech Detection: Conversational Context Does Mattercited by 32
  2. 2021A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflictcited by 14
  3. 2022Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classificationcited by 11
  4. 2023The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generationcited by 11
  5. 2023Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speechcited by 10
  6. 2022A Report on the Euphemisms Detection Shared Taskcited by 7
  7. 2021"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Spacecited by 5
  8. 2024On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMscited by 5
  9. 2022A Survey on Automated Sarcasm Detection on Twittercited by 3
  10. 2022ConFiguRe: Exploring Discourse-level Chinese Figures of Speechcited by 3
  11. 2021Does Commonsense help in detecting Sarcasm?cited by 2
  12. 2022Computational Sarcasm Analysis on Social Media: A Systematic Reviewcited by 2
11 more
  1. 2024KoCoSa: Korean Context-aware Sarcasm Detection Datasetcited by 2
  2. 2025Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Taskscited by 1
  3. 2021SASICM A Multi-Task Benchmark For Subtext Recognitioncited by 0
  4. 2022IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in Englishcited by 0
  5. 2022Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentationcited by 0
  6. 2022CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabiccited by 0
  7. 2023TEDB System Description to a Shared Task on Euphemism Detection 2022cited by 0
  8. 2025Token-free Models for Sarcasm Detectioncited by 0
  9. 2025Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detectioncited by 0
  10. 2026CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Modelscited by 0
  11. 2026You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Commentscited by 0