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We propose an unsupervised approach for sarcasm generation based on a non-sarcastic input sentence.
Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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On the psycholinguistics of sarcasm
Raymond W Gibbs. 1986 · 1986
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George A Miller. 1995 · 1995
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Irony markers and functions: Towards a goal-oriented theory of irony and its processing
Salvatore Attardo. 2000 · 2000
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Asymmetries in the use of verbal irony
Roger J Kreuz and Kristen E Link. 2002 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Sentiwordnet: A publicly available lexical resource for opinion mining
Andrea Esuli and Fabrizio Sebastiani. 2006 · 2006
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The comprehension of figurative language: electrophysiological evidence on the processing of irony
Stefanie Regel. 2009 · 2009
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Semi-supervised recognition of sarcastic sentences in twitter and amazon
Dmitry Davidov, Oren Tsur, and Ari Rappoport. 2010 · 2010
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Identifying sarcasm in twitter: A closer look
Roberto González-Ibáñez, Smaranda Muresan, and Nina Wacholder. 2011 · 2011
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Verbal irony differences in usage across written genres
Christian Burgers, Margot Van Mulken, and Peter Jan Schellens. 2012 · 2012
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Sarcasm as contrast between a positive sentiment and negative situation
Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, and Ruihong Huang. 2013 · 2013
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A large annotated corpus for learning natural language inference
Samuel Bowman, Gabor Angeli, Christopher Potts, and Christopher D Manning. 2015 · 2015
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Sarcastic or not: Word embeddings to predict the literal or sarcastic meaning of words
Debanjan Ghosh, Weiwei Guo, and Smaranda Muresan. 2015 · 2015
Cited alongside, same era.
The highest form of intelligence: Sarcasm increases creativity for both expressers and recipients
Li Huang, Francesca Gino, and Adam Galinsky. 2015 · 2015
Cited alongside, same era.
Identification of nonliteral language in social media: A case study on sarcasm
Smaranda Muresan, Roberto Gonzalez-Ibanez, Debanjan Ghosh, and Nina Wacholder. 2016 · 2016
Cited alongside, same era.
Sarcasm analysis using conversation context
Debanjan Ghosh, Alexander R Fabbri, and Smaranda Muresan. 2018 · 2018
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Delete, retrieve, generate: a simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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Linguistic features of sarcasm and metaphor production quality
Stephen Skalicky and Scott Crossley. 2018 · 2018
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We usually don’t like going to the dentist: Using common sense to detect irony on twitter
Cynthia Van Hee, Els Lefever, and Véronique Hoste. 2018 · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
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Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2017 · 2017
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Magnets for sarcasm: Making sarcasm detection timely, contextual and very personal
Aniruddha Ghosh and Tony Veale. 2017 · 2017
Cited alongside, same era.
The role of conversation context for sarcasm detection in online interactions
Debanjan Ghosh, Alexander Richard Fabbri, and Smaranda Muresan. 2017 · 2017
Cited alongside, same era.
Sarcasm SIGN: Interpreting sarcasm with sentiment based monolingual machine translation
Lotem Peled and Roi Reichart. 2017 · 2017
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Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
Cited alongside, same era.
Sarcasmbot: An open-source sarcasm-generation module for chatbots
Aditya Joshi, Anoop Kunchukuttan, Pushpak Bhattacharyya, and Mark James Carman. 2015a
Cited in the paper.
Adina Williams, Nikita Nangia, and Samuel Bowman. 2018 · 2018
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COMET: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
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A modular architecture for unsupervised sarcasm generation
Abhijit Mishra, Tarun Tater, and Karthik Sankaranarayanan. 2019 · 2019
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Improving grammatical error correction via pre-training a copy-augmented architecture with unlabeled data
Wei Zhao, Liang Wang, Kewei Shen, Ruoyu Jia, and Jingming Liu. 2019 · 2019
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Interpreting verbal irony: Linguistic strategies and the connection to the type of semantic incongruity
Debanjan Ghosh, Elena Musi, Kartikeya Upasani, and Smaranda Muresan. 2020 · 2020
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