Who cites «iSarcasm: A Dataset of Intended Sarcasm»

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

1. A Corpus of Misunderstood Irony on Turkish Social Media — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
2. A Multi-Aspect Evaluation Framework for Synthetic Data: Case Study on Irony and Sarcasm — 2026 · The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026)
3. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models — 2026 · arXiv:2603.09993
4. Deconstruct, Diagnose, and Deliberate: A Protocol-Adaptive Role-Specific Multi-Agent Framework for Fake News Detection — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
5. IHPP: A Paragraph-Level Dataset for Investigating the Pragmatics of Hyperpartisan Italian News — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
6. SarcasTürk: Turkish Context-Aware Sarcasm Detection Dataset — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
7. BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
8. Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
9. Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
10. Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
11. The Difficult Case of Intended and Perceived Sarcasm: a Challenge for Humans and Large Language Models — 2025 · Proceedings of the 16th International Conference on Computational Semantics
12. A Survey of Multimodal Sarcasm Detection — 2024 · arXiv:2410.18882
13. 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)
14. KoCoSa: Korean Context-aware Sarcasm Detection Dataset — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
15. Sarcasm Detection in a Disaster Context — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
16. Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
17. The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
18. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
19. Personalized Intended and Perceived Sarcasm Detection on Twitter — 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences
20. A Multimodal Corpus for Emotion Recognition in Sarcasm — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
21. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives — our card · 2022 · Proceedings of the 29th International Conference on Computational Linguistics
22. Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
23. Automatic Identification and Classification of Bragging in Social Media — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
24. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models — 2022 · arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj
25. 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)
26. Combining Humor and Sarcasm for Improving Political Parody Detection — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
27. 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)
28. 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)
29. MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
30. 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)
31. On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
32. 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)
33. Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation — 2022 · arXiv:2203.04111
34. Plumeria at SemEval-2022 Task 6: Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
35. 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)
36. SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
37. 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
38. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic — our card · 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
39. The Effect of Arabic Dialect Familiarity on Data Annotation — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
40. UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
41. Understanding the Sarcastic Nature of Emojis with SarcOji — 2022 · Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
42. 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)
43. stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
44. Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
45. Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
46. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic — 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop
47. Say `YES'' to Positivity: Detecting Toxic Language in Workplace Communications — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
48. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset — 2020 · Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection
49. Reactive Supervision: A New Method for Collecting Sarcasm Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
50. bagdon-2025-donate-or-create-comparing-data
51. banerjee-2024-inffeed-influence-functions-as-feedback
52. baranov-2025-kowit-24-richly-annotated-dataset
53. fahim-2023-edal-entropy-based-dynamic-attention
54. li-2025-can-third-parties-read-our
55. li-2025-glider-global-local-instruction-driven

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