Who cites «Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue»
- A Corpus of Misunderstood Irony on Turkish Social Media — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- 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)
- 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)
- 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)
- 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)
- 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)
- SarcasTürk: Turkish Context-Aware Sarcasm Detection Dataset — 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)
- 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)
- Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
- Irony Detection, Reasoning and Understanding in Zero-shot Learning — 2025 · arXiv:2501.16884
- 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)
- 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
- Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Sarcasm-R1: Enhancing Sarcasm Detection through Focused Reasoning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- 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
- 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)
- Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models? — 2024 · arXiv:2407.12725
- 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)
- Sarcasm Detection in a Disaster Context — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding — 2024 · arXiv:2408.11319
- Was that Sarcasm?: A Literature Survey on Sarcasm Detection — 2024 · arXiv:2412.00425
- 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)
- Contrastive Learning of Sociopragmatic Meaning in Social Media — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- 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
- Prompt Tuning with Contradictory Intentions for Sarcasm Recognition — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- 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
- A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
- A Multimodal Corpus for Emotion Recognition in Sarcasm — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- A Pragmatics-Centered Evaluation Framework for Natural Language Understanding — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- A Survey on Automated Sarcasm Detection on Twitter — 2022 · arXiv:2202.02516
- Computational Sarcasm Analysis on Social Media: A Systematic Review — 2022 · arXiv:2209.06170
- Explainable Detection of Sarcasm in Social Media — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
- 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
- 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)
- ``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
- 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
- Affective and Contextual Embedding for Sarcasm Detection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
- 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
- The Design and Construction of a Chinese Sarcasm Dataset — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- 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)
- Attention-based Conditioning Methods for External Knowledge Integration — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- 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)
- Wait Signals Predict Sarcasm in Online Debates — 2019
- A Large Self-Annotated Corpus for Sarcasm — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
- 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
- Sarcasm Analysis Using Conversation Context — 2018
- 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
- 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
- Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus — 2017 · Proceedings of the 11th Linguistic Annotation Workshop
- 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
- bourgeade-2021-plongements-interpretables-pour-la-detection
- bowden-2025-dialogue-scaffolding-producing-realistic-corpus
- farzam-2024-multi-task-learning-improves-performance
- katsios-2024-figuratively-speaking-authorship-attribution-multi
- song-2025-emotion-o1-adaptive-long-reasoning
- winkler-2026-indirect-question-answering-english-german
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