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Computational models for sarcasm detection have often relied on the content of utterances in isolation.
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Burfoot, Clint and Baldwin, Timothy. 2009 · 2009
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Verbal irony: Use and effects in written discourse
Burgers, Christian Frederik. 2010 · 2010
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Semi-supervised recognition of sarcasm in twitter and amazon
Davidov, Dmitry, Oren Tsur, and Ari Rappoport. 2010 · 2010
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Detecting ironic intent in creative comparisons
Veale, Tony and Yanfen Hao. 2010 · 2010
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Identifying sarcasm in twitter: A closer look
González-Ibáñez, Roberto, Smaranda Muresan, and Nina Wacholder. 2011 · 2011
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Verbal irony differences in usage across written genres
Burgers, Christian, Margot Van Mulken, and Peter Jan Schellens. 2012 · 2012
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Sarcasm, pretense, and the semantics/pragmatics distinction*
Camp, Elisabeth. 2012 · 2012
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Walker, Marilyn A, Jean E Fox Tree, Pranav Anand, Rob Abbott, and Joseph King. 2012 · 2012
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The perfect solution for detecting sarcasm in tweets #not
Liebrecht, Christine, Florian Kunneman, and Antal Van den Bosch. 2013 · 2013
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Efficient estimation of word representations in vector space
Mikolov, Tomas, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Sarcasm as contrast between a positive sentiment and negative situation
Riloff, Ellen, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, and Ruihong Huang. 2013 · 2013
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Extracting relevant knowledge for the detection of sarcasm and nastiness in the social web
Justo, Raquel, Thomas Corcoran, Stephanie M Lukin, Marilyn Walker, and M Inés Torres. 2014 · 2014
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Fracking sarcasm using neural network
Ghosh, Aniruddha and Tony Veale. 2016 · 2016
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Are word embedding-based features useful for sarcasm detection?
Joshi, Aditya, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, and Mark Carman. 2016b · 2016
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Harnessing cognitive features for sarcasm detection
Mishra, Abhijit, Diptesh Kanojia, Seema Nagar, Kuntal Dey, and Pushpak Bhattacharyya. 2016 · 2016
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Identification of nonliteral language in social media: A case study on sarcasm
Muresan, Smaranda, Roberto Gonzalez-Ibanez, Debanjan Ghosh, and Nina Wacholder. 2016 · 2016
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Creating and characterizing a diverse corpus of sarcasm in dialogue
Oraby, Shereen, Vrindavan Harrison, Lena Reed, Ernesto Hernandez, Ellen Riloff, and Marilyn Walker. 2016 · 2016
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A decomposable attention model for natural language inference
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Sarcasm detection in social media based on imbalanced classification
Liu, Peng, Wei Chen, Gaoyan Ou, Tengjiao Wang, Dongqing Yang, and Kai Lei. 2014 · 2014
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Who cares about sarcastic tweets? investigating the impact of sarcasm on sentiment analysis
Maynard, Diana and Mark Greenwood. 2014 · 2014
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Sarcasm detection on czech and english twitter
Ptáček, Tomáš, Ivan Habernal, and Jun Hong. 2014 · 2014
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Sequence to sequence learning with neural networks
Sutskever, Ilya, Oriol Vinyals, and Quoc V Le. 2014 · 2014
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Emoticons and phrases: Status symbols in social media
Tchokni, Simo, Diarmuid O Séaghdha, and Daniele Quercia. 2014 · 2014
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Humans require context to infer ironic intent (so computers probably do, too)
Wallace, Byron C, Laura Kertz Do Kook Choe, Laura Kertz, and Eugene Charniak. 2014 · 2014
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Recurrent neural network regularization
Zaremba, Wojciech, Ilya Sutskever, and Oriol Vinyals. 2014 · 2014
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Parikh, Ankur, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
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Reasoning about entailment with neural attention
Rocktäschel, Tim, Edward Grefenstette, Karl Moritz Hermann, Tomáš Kočiskỳ, and Phil Blunsom. 2016 · 2016
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Detecting sarcasm in multimodal social platforms
Schifanella, Rossano, Paloma de Juan, Joel Tetreault, and Liangliang Cao. 2016 · 2016
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Reading and thinking: Re-read lstm unit for textual entailment recognition
Sha, Lei, Baobao Chang, Zhifang Sui, and Sujian Li. 2016 · 2016
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Hierarchical attention networks for document classification
Yang, Zichao, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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Abcnn: Attention-based convolutional neural network for modeling sentence pairs
Yin, Wenpeng, Hinrich Schütze, Bing Xiang, and Bowen Zhou. 2016 · 2016
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Harnessing online news for sarcasm detection in hindi tweets
Bharti, Santosh Kumar, Korra Sathya Babu, and Sanjay Kumar Jena. 2017 · 2017
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Magnets for sarcasm: Making sarcasm detection timely, contextual and very personal
Ghosh, Aniruddha and Tony Veale. 2017 · 2017
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The role of conversation context for sarcasm detection in online interactions
Ghosh, Debanjan, R. Alexander Fabbri, and Smaranda Muresan. 2017 · 2017
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Irony detection with attentive recurrent neural networks
Huang, Yu-Hsiang, Hen-Hsen Huang, and Hsin-Hsi Chen. 2017 · 2017
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Automatic sarcasm detection: A survey
Joshi, Aditya, Pushpak Bhattacharyya, and Mark J. Carman. 2017 · 2017
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Are you serious?: Rhetorical questions and sarcasm in social media dialog
Oraby, Shereen, Vrindavan Harrison, Amita Misra, Ellen Riloff, and Marilyn Walker. 2017 · 2017
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"with 1 follower I must be AWESOME : P." exploring the role of irony markers in irony recognition
Ghosh, Debanjan and Smaranda Muresan. 2018 · 2018
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A large self-annotated corpus for sarcasm
Khodak, Mikhail, Nikunj Saunshi, and Kiran Vodrahalli. 2018 · 2018
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Conversation modeling on reddit using a graph-structured lstm
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Show, attend and tell: Neural image caption generation with visual attention
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