--- title: "Who cites Sarcasm as Contrast between a Positive Sentiment…" description: "165 papers of the Elamur Research library cite «Sarcasm as Contrast between a Positive Sentiment and Negative Situation», found in their bibliographies ·…" canonical: "https://research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sarcasm as Contrast between a Positive Sentiment…](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/) / cited by # Who cites «Sarcasm as Contrast between a Positive Sentiment and Negative Situation» 165 papers of our library cite it (of the 140884 whose bibliographies we read) · 67 with a page here, the most cited first · page 1 of 3 · [← the paper](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/) **1** [2](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/2/) - [A Survey on Hate Speech Detection using Natural Language Processing](https://md.research.elamur.ai/free/en/papers/schmidt-2017-survey-hate-speech-detection-natural/) — Anna Schmidt, Michael Wiegand · 2017 · 1 799 citations - [SemEval-2018 Task 3: Irony Detection in English Tweets](https://md.research.elamur.ai/free/en/papers/hee-2018-semeval-2018-task-3-irony/) — Cynthia Van Hee, Els Lefever, Véronique Hoste · 2018 · 467 citations - [Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model](https://md.research.elamur.ai/free/en/papers/cai-2019-multi-modal-sarcasm-detection-twitter/) — Yitao Cai, Huiyu Cai, Xiaojun Wan · 2019 · 450 citations - [Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) — Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya · 2015 · 415 citations - [Fracking Sarcasm using Neural Network](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/) — Aniruddha Ghosh, Tony Veale · 2016 · 350 citations - [A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) — Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al. · 2016 · 331 citations - [Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)](https://md.research.elamur.ai/free/en/papers/castro-2019-towards-multimodal-sarcasm-detection-obviously/) — Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al. · 2019 · 313 citations - [A Transformer-based approach to Irony and Sarcasm detection](https://md.research.elamur.ai/free/en/papers/potamias-2019-transformer-based-approach-irony-sarcasm/) — Rolandos Alexandros Potamias, Georgios Siolas, Andreas - Georgios Stafylopatis · 2019 · 312 citations - [Detecting Sarcasm in Multimodal Social Platforms](https://md.research.elamur.ai/free/en/papers/schifanella-2016-detecting-sarcasm-multimodal-social-platforms/) — Rossano Schifanella, Paloma de Juan, Joel Tetreault, et al. · 2016 · 289 citations - [A Large Self-Annotated Corpus for Sarcasm](https://md.research.elamur.ai/free/en/papers/khodak-2018-large-self-annotated-corpus-sarcasm/) — Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli · 2018 · 258 citations - [Reasoning with Sarcasm by Reading In-Between](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/) — Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al. · 2018 · 247 citations - [Modelling Sarcasm in Twitter, a Novel Approach](https://md.research.elamur.ai/free/en/papers/barbieri-2014-modelling-sarcasm-twitter-novel-approach/) — Francesco Barbieri, Horacio Saggion, Francesco Ronzano · 2014 · 217 citations - [Automatic Sarcasm Detection: A Survey](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/) — Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman · 2016 · 214 citations - [Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) — Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al. · 2016 · 211 citations - [Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association](https://md.research.elamur.ai/free/en/papers/xu-2020-reasoning-multimodal-sarcastic-tweets-modeling/) — Nan Xu, Zhixiong Zeng, Wenji Mao · 2020 · 206 citations - [Tweet Sarcasm Detection Using Deep Neural Network](https://md.research.elamur.ai/free/en/papers/zhang-2016-tweet-sarcasm-detection-deep-neural/) — Meishan Zhang, Yue Zhang, Guohong Fu · 2016 · 189 citations - [Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/pan-2020-modeling-intra-inter-modality-incongruity/) — Hongliang Pan, Zheng Lin, Peng Fu, et al. · 2020 · 181 citations - [Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/) — Aniruddha Ghosh, Tony Veale · 2017 · 174 citations - [Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network](https://md.research.elamur.ai/free/en/papers/liang-2022-multi-modal-sarcasm-detection-cross/) — Bin Liang, Chenwei Lou, Xiang Li, et al. · 2022 · 172 citations - [Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue](https://md.research.elamur.ai/free/en/papers/oraby-2016-creating-characterizing-diverse-corpus-sarcasm/) — Shereen Oraby, Vrindavan Harrison, Lena Reed, et al. · 2016 · 163 citations - [SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic](https://md.research.elamur.ai/free/en/papers/farha-2022-semeval-2022-task-6-isarcasmeval/) — Ibrahim Abu Farha, Silviu Vlad Oprea, Steven Wilson, et al. · 2022 · 146 citations - [Deep contextualized word representations for detecting sarcasm and irony](https://md.research.elamur.ai/free/en/papers/ilic-2018-deep-contextualized-word-representations-detecting/) — Suzana Ilić, Edison Marrese-Taylor, Jorge Balazs, et al. · 2018 · 141 citations - [Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words](https://md.research.elamur.ai/free/en/papers/ghosh-2015-sarcastic-or-not-word-embeddings/) — Debanjan Ghosh, Weiwei Guo, Smaranda Muresan · 2015 · 141 citations - [Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) — Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya · 2017 · 139 citations - [Affective and Contextual Embedding for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/babanejad-2020-affective-contextual-embedding-sarcasm-detection/) — Nastaran Babanejad, Heidar Davoudi, Aijun An, et al. · 2020 · 135 citations **1** [2](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/3/) [next →](https://md.research.elamur.ai/free/en/papers/prag-2013-riloff-sarcasm-as-contrast-between-positive/cited-by/page/2/)