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. NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification — 2026 · Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
2. TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models? — 2026 · arXiv:2603.19558
3. When AI Rewrites, Classifiers Relax: Uncertainty-Aware Sentiment Analysis on Sarcastic and AI-Paraphrased Social Text — 2026 · arXiv:2608.15338
4. Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
5. Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. Irony Detection, Reasoning and Understanding in Zero-shot Learning — 2025 · arXiv:2501.16884
7. Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
8. 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
9. Can Large Multimodal Models Uncover Deep Semantics Behind Images? — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
10. EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora — 2024 · arXiv:2408.03524
11. Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
12. 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)
13. 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)
14. Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets — 2024 · arXiv:2405.11282
15. Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
16. 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)
17. MLT-DR: Multi-Lingual/Task Demonstration Retrieval An Attempt towards Generalized Retriever for In-Context Learning — 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)
18. 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)
19. PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models — 2024 · arXiv:2403.02246
20. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding — 2024 · arXiv:2408.11319
21. 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)
22. 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
23. The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
24. 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)
25. 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)
26. Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5 — 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)
27. 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)
28. 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)
29. 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)
30. 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)
31. 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)
32. Identifying Condescending Language: A Tale of Two Distinct Phenomena? — 2022 · Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)
33. 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)
34. 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)
35. MaChAmp at SemEval-2022 Tasks 2, 3, 4, 6, 10, 11, and 12: Multi-task Multi-lingual Learning for a Pre-selected Set of Semantic Datasets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
36. 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)
37. 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)
38. Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation — 2022 · arXiv:2203.04111
39. 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)
40. 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
41. 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)
42. 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)
43. 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)
44. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
45. Understanding the Sarcastic Nature of Emojis with SarcOji — 2022 · Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
46. 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)
47. 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)
48. 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)
49. stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)