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Who cites «SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic»

49 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text — 2026 · arXiv:2608.15338
  2. Irony Detection, Reasoning and Understanding in Zero-shot Learning — 2025 · arXiv:2501.16884
  3. Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  4. Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  5. Can Large Multimodal Models Uncover Deep Semantics Behind Images? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  6. EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora — 2024 · arXiv:2408.03524
  7. Error Analysis of NLP Models and Non-Native Speakers of English Identifying Sarcasm in Reddit Comments — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  8. Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  9. Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets — 2024 · arXiv:2405.11282
  10. Generalizable Sarcasm Detection is Just Around the Corner, of Course! — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  11. Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  12. PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models — 2024 · arXiv:2403.02246
  13. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding — 2024 · arXiv:2408.11319
  14. Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  15. Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  16. The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  17. CS-UM6P at SemEval-2022 Task 6: Transformer-based Models for Intended Sarcasm Detection in English and Arabic — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  18. DUCS at SemEval-2022 Task 6: Exploring Emojis and Sentiments for Sarcasm Detection — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  19. Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
  20. FII UAIC at SemEval-2022 Task 6: iSarcasmEval - Intended Sarcasm Detection in English and Arabic — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  21. GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  22. High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  23. I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  24. I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  25. JCT at SemEval-2022 Task 6-A: Sarcasm Detection in Tweets Written in English and Arabic using Preprocessing Methods and Word N-grams — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  26. LISACTeam at SemEval-2022 Task 6: A Transformer based Approach for Intended Sarcasm Detection in English Tweets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  27. NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  28. PALI-NLP at SemEval-2022 Task 6: iSarcasmEval- Fine-tuning the Pre-trained Model for Detecting Intended Sarcasm — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  29. Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation — 2022 · arXiv:2203.04111
  30. R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  31. Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm Detection — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  32. SarcasmDet at SemEval-2022 Task 6: Detecting Sarcasm using Pre-trained Transformers in English and Arabic Languages — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  33. Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  35. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  36. Understanding the Sarcastic Nature of Emojis with SarcOji — 2022 · Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
  37. UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  38. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  39. YNU-HPCC at SemEval-2022 Task 6: Transformer-based Model for Intended Sarcasm Detection in English and Arabic — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  40. stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  41. almendros-2022-identifying-condescending-language-tale-two
  42. bagdon-2025-donate-or-create-comparing-data
  43. djamai-2026-namaa-semeval-2026-task-9
  44. goot-2022-machamp-semeval-2022-tasks-2
  45. guo-2026-textreasoningbench-reasoning-really-improve-text
  46. hashimoto-2024-mlt-dr-multi-lingual-task
  47. katsios-2024-figuratively-speaking-authorship-attribution-multi
  48. mu-2024-enhancing-data-quality-through-simple
  49. wang-2025-beyond-single-frames-can-lmms

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