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

165 papers of our library cite it (of the 140,884 whose bibliographies we read) · 67 with a page here, the most cited first · ← the paper

1. A Survey on Hate Speech Detection using Natural Language ProcessingAnna Schmidt, Michael Wiegand2017 · 1,799 citations
2. SemEval-2018 Task 3: Irony Detection in English TweetsCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 467 citations
3. Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion ModelYitao Cai, Huiyu Cai, Xiaojun Wan2019 · 450 citations
4. Harnessing Context Incongruity for Sarcasm DetectionAditya Joshi, Vinita Sharma, Pushpak Bhattacharyya2015 · 415 citations
5. Fracking Sarcasm using Neural NetworkAniruddha Ghosh, Tony Veale2016 · 350 citations
6. A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural NetworksSoujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.2016 · 331 citations
7. Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.2019 · 313 citations
8. A Transformer-based approach to Irony and Sarcasm detectionRolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis2019 · 312 citations
9. Detecting Sarcasm in Multimodal Social PlatformsRossano Schifanella, Paloma de Juan, Joel Tetreault, et al.2016 · 289 citations
10. A Large Self-Annotated Corpus for SarcasmMikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli2018 · 258 citations
11. Reasoning with Sarcasm by Reading In-BetweenYi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.2018 · 247 citations
12. Modelling Sarcasm in Twitter, a Novel ApproachFrancesco Barbieri, Horacio Saggion, Francesco Ronzano2014 · 217 citations
13. Automatic Sarcasm Detection: A SurveyAditya Joshi, Pushpak Bhattacharyya, Mark James Carman2016 · 214 citations
14. Are Word Embedding-based Features Useful for Sarcasm Detection?Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.2016 · 211 citations
15. Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic AssociationNan Xu, Zhixiong Zeng, Wenji Mao2020 · 206 citations
16. Tweet Sarcasm Detection Using Deep Neural NetworkMeishan Zhang, Yue Zhang, Guohong Fu2016 · 189 citations
17. Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm DetectionHongliang Pan, Zheng Lin, Peng Fu, et al.2020 · 181 citations
18. Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very PersonalAniruddha Ghosh, Tony Veale2017 · 174 citations
19. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional NetworkBin Liang, Chenwei Lou, Xiang Li, et al.2022 · 172 citations
20. Creating and Characterizing a Diverse Corpus of Sarcasm in DialogueShereen Oraby, Vrindavan Harrison, Lena Reed, et al.2016 · 163 citations
21. SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and ArabicIbrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al.2022 · 146 citations
22. Deep contextualized word representations for detecting sarcasm and ironySuzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al.2018 · 141 citations
23. Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of WordsDebanjan Ghosh, Weiwei Guo, Smaranda Muresan2015 · 141 citations
24. Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural NetworkAbhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya2017 · 139 citations
25. Affective and Contextual Embedding for Sarcasm DetectionNastaran Babanejad, Heidar Davoudi, Aijun An, et al.2020 · 135 citations
26. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm DatasetIbrahim Abu Farha, Walid Magdy2020 · 132 citations
27. Sarcasm Analysis Using Conversation ContextDebanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan2018 · 118 citations
28. Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasmAnupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.2015 · 114 citations
29. Sentiment Propagation via Implicature ConstraintsLingjia Deng, Janyce Wiebe2014 · 112 citations
30. Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine TranslationLotem Peled, Roi Reichart2017 · 94 citations
31. A Report on the 2020 Sarcasm Detection Shared TaskDebanjan Ghosh, Avijit Vajpayee, Smaranda Muresan2020 · 92 citations
32. CASCADE: Contextual Sarcasm Detection in Online Discussion ForumsDevamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.2018 · 89 citations
33. R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense KnowledgeTuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, et al.2020 · 86 citations
34. Harnessing Cognitive Features for Sarcasm DetectionAbhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.2016 · 85 citations
35. Towards a Contextual Pragmatic Model to Detect Irony in TweetsJihen Karoui, Farah Benamara Zitoune, Véronique Moriceau, et al.2015 · 81 citations
36. Are you serious?: Rhetorical Questions and Sarcasm in Social Media DialogShereen Oraby, Vrindavan Harrison, Amita Misra, et al.2017 · 70 citations
37. Dynamic Routing Transformer Network for Multimodal Sarcasm DetectionYuan Tian, Nan Xu, Ruike Zhang, et al.2023 · 66 citations
38. A Novel Hierarchical BERT Architecture for Sarcasm DetectionHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.2020 · 62 citations
39. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations
40. Monday mornings are my fave :) #not Exploring the Automatic Recognition of Irony in English tweetsCynthia Van Hee, Els Lefever, Véronique Hoste2016 · 59 citations
41. iSarcasm: A Dataset of Intended SarcasmSilviu Oprea, Walid Magdy2020 · 57 citations
42. A Modular Architecture for Unsupervised Sarcasm GenerationAbhijit Mishra, Tarun Tater, Karthik Sankaranarayanan2019 · 51 citations
43. Exploring the Realization of Irony in Twitter DataCynthia Van Hee, Els Lefever, Véronique Hoste2016 · 48 citations
44. Exploring Author Context for Detecting Intended vs Perceived SarcasmSilviu Oprea, Walid Magdy2019 · 47 citations
45. We Usually Don't Like Going to the Dentist: Using Common Sense to Detect Irony on TwitterCynthia Van Hee, Els Lefever, Véronique Hoste2018 · 39 citations
46. WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of IronyOmid Rohanian, Shiva Taslimipoor, Richard Evans, et al.2018 · 39 citations
47. C-Net: Contextual Network for Sarcasm DetectionAmit Kumar Jena, Aman Sinha, Rohit Agarwal2020 · 38 citations
48. Reactive Supervision: A New Method for Collecting Sarcasm DataBoaz Shmueli, Lun-Wei Ku, Soumya Ray2020 · 36 citations
49. A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citations
50. Neural Sarcasm Detection using Conversation ContextNikhil Jaiswal2020 · 32 citations
51. A deep-learning framework to detect sarcasm targetsJasabanta Patro, Srijan Bansal, Animesh Mukherjee2019 · 29 citations
52. “When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of TextAbhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.2019 · 29 citations
53. Multimodal Sarcasm Target Identification in TweetsJiquan Wang, Lin Sun, Yi Liu, et al.2022 · 28 citations
54. Augmenting Data for Sarcasm Detection with Unlabeled Conversation ContextHankyol Lee, Youngjae Yu, Gunhee Kim2020 · 27 citations
55. Prompt Tuning with Contradictory Intentions for Sarcasm RecognitionYiyi Liu, Ruqing Zhang, Yixing Fan, et al.2023 · 24 citations
56. Getting Reliable Annotations for Sarcasm in Online DialoguesReid Swanson, Stephanie Lukin, Luke Eisenberg, et al.2014 · 23 citations
57. Generalizable Sarcasm Detection is Just Around the Corner, of Course!Hyewon Jang, Diego Frassinelli2024 · 22 citations
58. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsZixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
59. Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and ReactionChangrong Min, Ximing Li, Liang Yang, et al.2023 · 16 citations
60. Sarcasm Target Identification: Dataset and An Introductory ApproachAditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.2018 · 16 citations
61. Sarcasm Detection is Way Too Easy! An Empirical Comparison of Human and Machine Sarcasm DetectionIbrahim Abu Farha, Steven Wilson, Silviu Oprea, et al.2022 · 13 citations
62. Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic IncongruityDebanjan Ghosh, Elena Musi, Smaranda Muresan2020 · 10 citations
63. How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English LiteratureAditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.2016 · 10 citations
64. Chandler: An Explainable Sarcastic Response GeneratorSilviu Oprea, Steven Wilson, Walid Magdy2021 · 8 citations
65. AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning TechniquesAya Lotfy, Marwan Torki, Nagwa El-Makky2022 · 3 citations
66. Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed TechniquesLang Xiong, Raina Gao, Alyssa Jeong2025
67. Linguistic Features in Automatic Sarcasm DetectionMartina Ducret, Lauren Kruse, Carlos Martinez, et al.2020

98 more papers of our library cite it; they have no page here yet.

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