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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. Can Third Parties Read Our Emotions? — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  10. 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)
  11. Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  12. KoWit-24: A Richly Annotated Dataset of Wordplay in News Headlines — 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era
  13. 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
  14. Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  15. 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
  16. A Survey of Multimodal Sarcasm Detection — 2024 · arXiv:2410.18882
  17. 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)
  18. InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  19. 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)
  20. Sarcasm Detection in a Disaster Context — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  21. Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  22. 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
  23. EDAL: Entropy based Dynamic Attention Loss for HateSpeech Classification — 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation
  24. 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)
  25. Personalized Intended and Perceived Sarcasm Detection on Twitter — 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences
  26. A Multimodal Corpus for Emotion Recognition in Sarcasm — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  27. A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives — our card · 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  28. 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)
  29. 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)
  30. 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
  31. 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)
  32. 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
  33. 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)
  34. 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)
  35. 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)
  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. On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  38. 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)
  39. Plumeria at SemEval-2022 Task 6: Robust Approaches for Sarcasm Detection for English and Arabic Using Transformers and Data Augmentation — 2022 · arXiv:2203.04111
  40. 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)
  41. 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)
  42. SAIDS: A Novel Approach for Sentiment Analysis Informed of Dialect and Sarcasm — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
  43. 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
  44. 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)
  45. The Effect of Arabic Dialect Familiarity on Data Annotation — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
  46. 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)
  47. Understanding the Sarcastic Nature of Emojis with SarcOji — 2022 · Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
  48. 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)
  49. stce at SemEval-2022 Task 6: Sarcasm Detection in English Tweets — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  50. Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  51. 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
  52. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic — 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop
  53. Say `YES'' to Positivity: Detecting Toxic Language in Workplace Communications — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  54. 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
  55. Reactive Supervision: A New Method for Collecting Sarcasm Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)