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Human communication often involves the use of verbal irony or sarcasm, where the speakers usually mean the opposite of what they say.
Towards multimodal sarcasm detection (an _obviously_ perfect paper)
Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, Roger Zimmermann, Rada Mihalcea, and Soujanya Poria. 2019 · 1906
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H Paul Grice. 1975 · 1975
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Contextual effects on metaphor comprehension in reading
Albrecht Werner Inhoff, Susan D Lima, and Patrick J Carroll. 1984 · 1984
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On the psycholinguistics of sarcasm
Raymond W Gibbs. 1986 · 1986
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Relevance: Communication and cognition
Dan Sperber and Deirdre Wilson. 1986 · 1986
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A dictionary of affect in language: Iv. reliability, validity, and applications
Cynthia Whissell, Michael Fournier, Rene Pelland, Deborah Weir, and Katherine Makarec. 1986 · 1986
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A natural history of negation
Laurence Horn. 1989 · 1989
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How to be sarcastic: The echoic reminder theory of verbal irony
Roger J Kreuz and Sam Glucksberg. 1989 · 1989
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A speech act analysis of irony
Henk Haverkate. 1990 · 1990
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On irony and negation
Rachel Giora. 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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The production and processing of verbal irony
Roger J Kreuz. 2000 · 2000
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Giza++: Training of statistical translation models
Franz Josef Och and Hermann Ney. 2000 · 2000
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Context incongruity and irony processing
Stacey L Ivanko and Penny M Pexman. 2003 · 2003
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Verbocean: Mining the web for fine-grained semantic verb relations
Timothy Chklovski and Patrick Pantel. 2004 · 2004
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Mining and summarizing customer reviews
Minqing Hu and Bing Liu. 2004 · 2004
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Saying what you don’t mean: Social influences on sarcastic language processing
Albert N Katz, Dawn G Blasko, and Victoria A Kazmerski. 2004 · 2004
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The alignment template approach to statistical machine translation
Franz Josef Och and Hermann Ney. 2004 · 2004
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Constructions of intersubjectivity: Discourse, syntax, and cognition
Arie Verhagen. 2005 · 2005
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Recognizing contextual polarity in phrase-level sentiment analysis
Theresa Wilson, Janyce Wiebe, and Paul Hoffmann. 2005 · 2005
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Moses: Open source toolkit for statistical machine translation
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, et al. 2007 · 2007
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Finding contradictions in text
Marie-Catherine De Marneffe, Anna N Rafferty, and Christopher D Manning. 2008 · 2008
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Special issue on english intensifiers
Belén Méndez-Naya. 2008 · 2008
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Verbal irony: Use and effects in written discourse
Christian Frederik Burgers. 2010 · 2010
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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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Neural networks for negation scope detection
Federico Fancellu, Adam Lopez, and Bonnie Webber. 2016 · 2016
Later among the works it cites.
Fracking sarcasm using neural network
Aniruddha Ghosh and Tony Veale. 2016 · 2016
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Harnessing cognitive features for sarcasm detection
Abhijit Mishra, 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
Smaranda Muresan, Roberto Gonzalez-Ibanez, Debanjan Ghosh, and Nina Wacholder. 2016 · 2016
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Speculation and negation scope detection via convolutional neural networks
Zhong Qian, Peifeng Li, Qiaoming Zhu, Guodong Zhou, Zhunchen Luo, and Wei Luo. 2016 · 2016
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Detecting sarcasm in multimodal social platforms
Rossano Schifanella, Paloma de Juan, Joel Tetreault, and Liangliang Cao. 2016 · 2016
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Lexicon-based methods for sentiment analysis
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011 · 2011
Cited alongside, same era.
Verbal irony differences in usage across written genres
Christian Burgers, Margot Van Mulken, and Peter Schellens. 2012 · 2012
Cited alongside, same era.
Explaining irony
Deirdre Wilson and Dan Sperber. 2012 · 2012
Cited alongside, same era.
The perfect solution for detecting sarcasm in tweets# not
CC Liebrecht, FA Kunneman, and APJ van den Bosch. 2013 · 2013
Cited alongside, same era.
Computing lexical contrast
Saif M. Mohammad, Bonnie J. Dorr, Graeme Hirst, and Peter D. Turney. 2013 · 2013
Cited alongside, same era.
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
Cited alongside, same era.
Later among the works it cites.
Tweet sarcasm detection using deep neural network
Meishan Zhang, Yue Zhang, and Guohong Fu. 2016 · 2016
Later among the works it cites.
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard, Iyad Rahwan, and Sune Lehmann. 2017 · 2017
Later among the works it cites.
Magnets for sarcasm: Making sarcasm detection timely, contextual and very personal
Aniruddha Ghosh and Tony Veale. 2017 · 2017
Later among the works it cites.
The role of conversation context for sarcasm detection in online interactions
Debanjan Ghosh, Alexander Richard Fabbri, and Smaranda Muresan. 2017 · 2017
Later among the works it cites.
Exploring the impact of pragmatic phenomena on irony detection in tweets: A multilingual corpus study
Jihen Karoui, Farah Benamara, Véronique Moriceau, Viviana Patti, Cristina Bosco, and Nathalie Aussenac-Gilles. 2017 · 2017
Later among the works it cites.
Sarcasm sign: Interpreting sarcasm with sentiment based monolingual machine translation
Lotem Peled and Roi Reichart. 2017 · 2017
Later among the works it cites.
Sarcasm analysis using conversation context
Debanjan Ghosh, Alexander R Fabbri, and Smaranda Muresan. 2018 · 2018
Later among the works it cites.
” with 1 follower i must be awesome: P”. exploring the role of irony markers in irony recognition
Debanjan Ghosh and Smaranda Muresan. 2018 · 2018
Later among the works it cites.
Cascade: Contextual sarcasm detection in online discussion forums
Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, and Rada Mihalcea. 2018 · 2018
Later among the works it cites.
Learning with structured representations for negation scope extraction
Hao Li and Wei Lu. 2018 · 2018
Later among the works it cites.
Reasoning with sarcasm by reading in-between
Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and Jian Su. 2018 · 2018
Later among the works it cites.
Exploring author context for detecting intended vs perceived sarcasm
Silviu Oprea and Walid Magdy. 2019 · 2019
Closest in time.
Sarcasm detection with self-matching networks and low-rank bilinear pooling
Tao Xiong, Peiran Zhang, Hongbo Zhu, and Yihui Yang. 2019 · 2019
Closest in time.