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Who cites «Sarcasm as Contrast between a Positive Sentiment and Negative Situation»

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

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  1. 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)
  2. Understanding Conversational Implicatures in Humans and LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  3. Understanding Irony through Explanations and Background Knowledge — 2026 · Proceedings of Computational Affective Science (CAS) @ LREC 2026
  4. 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)
  5. Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  6. Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish — 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
  7. Irony Detection, Reasoning and Understanding in Zero-shot Learning — 2025 · arXiv:2501.16884
  8. Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English — 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association
  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. Rhetorical Device-Aware Sarcasm Detection with Counterfactual Data Augmentation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  11. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques — our card · 2025 · Proceedings of the 9th Widening NLP Workshop
  12. Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation. — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  13. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  14. DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  15. 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)
  16. Human and System Perspectives on the Expression of Irony: An Analysis of Likelihood Labels and Rationales — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  17. 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)
  18. Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  19. SarcNet: A Multilingual Multimodal 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. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding — 2024 · arXiv:2408.11319
  22. Was that Sarcasm?: A Literature Survey on Sarcasm Detection — 2024 · arXiv:2412.00425
  23. 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)
  24. Contrastive Learning of Sociopragmatic Meaning in Social Media — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  25. Dynamic Routing Transformer Network for Multimodal Sarcasm Detection — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  26. Euphemistic Abuse – A New Dataset and Classification Experiments for Implicitly Abusive Language — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  27. 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
  28. 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)
  29. Personalized Intended and Perceived Sarcasm Detection on Twitter — 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences
  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. Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection — 2023 · arXiv:2310.01430
  32. 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
  33. ``When Words Fail, Emojis Prevail'''': A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  34. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict — 2022 · Findings of the Association for Computational Linguistics: NAACL 2022
  35. A Survey on Automated Sarcasm Detection on Twitter — 2022 · arXiv:2202.02516
  36. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  37. 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)
  38. Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection? — 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
  39. Computational Sarcasm Analysis on Social Media: A Systematic Review — 2022 · arXiv:2209.06170
  40. Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-Tuning — 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
  41. Irony Detection for Dutch: a Venture into the Implicit — 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
  42. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  43. Multimodal Sarcasm Target Identification in Tweets — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. 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)
  45. 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)
  46. 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
  47. 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)
  48. 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)
  49. TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models — 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
  50. The Effect of Arabic Dialect Familiarity on Data Annotation — 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)
  51. 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)
  52. Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset — 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
  53. Chandler: An Explainable Sarcastic Response Generator — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  54. Does Commonsense help in detecting Sarcasm? — 2021 · Proceedings of the Second Workshop on Insights from Negative Results in NLP
  55. Enjeux liés à la détection de l'ironie (Challenges of automatic irony detection ) — 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 : 23e REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL)
  56. Explainable Detection of Sarcasm in Social Media — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
  57. Implicitly Abusive Language – What does it actually look like and why are we not getting there? — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  58. Perceived and Intended Sarcasm Detection with Graph Attention Networks — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
  59. Perceived and Intended Sarcasm Detection with Graph Attention Networks — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  60. ``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
  61. A Novel Hierarchical BERT Architecture for Sarcasm Detection — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  62. A Report on the 2020 Sarcasm Detection Shared Task — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  63. Affective Event Classification with Discourse-enhanced Self-training — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  64. Affective and Contextual Embedding for Sarcasm Detection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  65. Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  66. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data — 2020 · Proceedings of the First International Workshop on Natural Language Processing Beyond Text
  67. C-Net: Contextual Network for Sarcasm Detection — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  68. 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
  69. Interpreting Verbal Irony: Linguistic Strategies and the Connection to theType of Semantic Incongruity — our card · 2020 · Proceedings of the Society for Computation in Linguistics 2020
  70. Irony Detection in Persian Language: A Transfer Learning Approach Using Emoji Prediction — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  71. Linguistic Features in Automatic Sarcasm Detection — our card · 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)
  72. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  73. Neural Sarcasm Detection using Conversation Context — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  74. R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  75. Reactive Supervision: A New Method for Collecting Sarcasm Data — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  76. Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  77. Sarcasm Detection Using an Ensemble Approach — 2020 · Proceedings of the Second Workshop on Figurative Language Processing
  78. The Effect of Sociocultural Variables on Sarcasm Communication Online — 2020 · arXiv:2004.04945
  79. iSarcasm: A Dataset of Intended Sarcasm — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  80. A Modular Architecture for Unsupervised Sarcasm Generation — 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)
  81. A Transformer-based approach to Irony and Sarcasm detection — 2019 · arXiv:1911.10401
  82. A deep-learning framework to detect sarcasm targets — 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)
  83. Exploring Author Context for Detecting Intended vs Perceived Sarcasm — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  84. Is This an Effective Way to Annotate Irony Activators? — 2019 · Proceedings of the Sixth Italian Conference on Computational Linguistics (CLiC-it 2019)
  85. Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  86. Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) — 2019 · arXiv:1906.01815
  87. Wait Signals Predict Sarcasm in Online Debates — 2019
  88. ``When Numbers Matter!'''': Detecting Sarcasm in Numerical Portions of Text — 2019 · Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
  89. #SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm — 2018 · arXiv:1806.03369
  90. A Large Self-Annotated Corpus for Sarcasm — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  91. An Integrated Representation of Linguistic and Social Functions of Code-Switching — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  92. Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  93. Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  94. CASCADE: Contextual Sarcasm Detection in Online Discussion Forums — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  95. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science — 2018
  96. 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
  97. Detecting Sarcasm is Extremely Easy ;-) — 2018 · Proceedings of the Workshop on Computational Semantics beyond Events and Roles
  98. INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  99. IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  100. Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation

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