Who cites «Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue»

56 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 Transformer and Prototype-based Interpretable Model for Contextual Sarcasm Detection — 2026 · The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026)
3. Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
4. Indirect Question Answering in English, German and Bavarian: A Challenging Task for High- and Low-Resource Languages Alike — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
5. LLMs in Sarcasm Detection? It's elementary! (Or is it?) — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. On Emergent Social World Models –- Evidence for Functional Integration of Theory of Mind and Pragmatic Reasoning in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
7. RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
8. SarcasTürk: Turkish Context-Aware Sarcasm Detection Dataset — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
9. Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
10. Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
11. Dialogue Scaffolding: Producing a Realistic Corpus of Human-Computer Open-Domain Dialogues Using a Spoken Dialogue System and ChatGPT — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
12. Emotion-o1: Adaptive Long Reasoning for Emotion Understanding in LLMs — 2025 · arXiv:2505.22548
13. Irony Detection, Reasoning and Understanding in Zero-shot Learning — 2025 · arXiv:2501.16884
14. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
15. 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
16. Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
17. Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
18. 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
19. Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
20. 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)
21. Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models? — 2024 · arXiv:2407.12725
22. 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)
23. Multi-Task Learning Improves Performance in Deep Argument Mining Models — 2024 · Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024)
24. Sarcasm Detection in a Disaster Context — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
25. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding — 2024 · arXiv:2408.11319
26. Was that Sarcasm?: A Literature Survey on Sarcasm Detection — 2024 · arXiv:2412.00425
27. When Do ``More Contexts'' Help with Sarcasm Recognition? — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
28. Contrastive Learning of Sociopragmatic Meaning in Social Media — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
29. Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
30. Prompt Tuning with Contradictory Intentions for Sarcasm Recognition — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
31. The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
32. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
33. A Multimodal Corpus for Emotion Recognition in Sarcasm — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
34. A Pragmatics-Centered Evaluation Framework for Natural Language Understanding — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
35. A Survey on Automated Sarcasm Detection on Twitter — 2022 · arXiv:2202.02516
36. Computational Sarcasm Analysis on Social Media: A Systematic Review — 2022 · arXiv:2209.06170
37. Explainable Detection of Sarcasm in Social Media — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
38. 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
39. Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature — 2021 · arXiv:2106.05752 · In RAAI 2020. Advances in Intelligent Systems and Computing, vol 1355 (2021)
40. Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
41. ``Laughing at you or with you'''': The Role of Sarcasm in Shaping the Disagreement Space — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
42. A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
43. Affective and Contextual Embedding for Sarcasm Detection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
44. Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
45. The Design and Construction of a Chinese Sarcasm Dataset — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
46. An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
47. Attention-based Conditioning Methods for External Knowledge Integration — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
48. Cross-Cultural Transfer Learning for Text Classification — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
49. Wait Signals Predict Sarcasm in Online Debates — 2019
50. A Large Self-Annotated Corpus for Sarcasm — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
51. Deep contextualized word representations for detecting sarcasm and irony — 2018 · Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
52. Sarcasm Analysis Using Conversation Context — 2018
53. Are you serious?: Rhetorical Questions and Sarcasm in Social Media Dialog — our card · 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
54. Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion — 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
55. Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus — 2017 · Proceedings of the 11th Linguistic Annotation Workshop
56. Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing