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We consider the distinction between intended and perceived sarcasm in the context of textual sarcasm detection.
A coefficient of agreement for nominal scales
Jacob Cohen. 1960 · 1960
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David S. Kaufer. 1981 · 1981
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Julia Jorgensen, George A Miller, and Dan Sperber. 1984 · 1984
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Emotional reactions to verbal irony
John S Leggitt and Raymond W Gibbs Jr. 2000 · 2000
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Culture, gender, and gender mix in encoders of sarcasm: A self-assessment analysis
Patricia Rockwell and Evelyn M. Theriot. 2001 · 2001
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Talk is cheap: Sarcasm, alienation, and the evolution of language
Salvatore Attardo. 2002 · 2002
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The pragmatics of verbal irony: Echo or pretence?
Deirdre Wilson. 2006 · 2006
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Regional variation in the use of sarcasm
Megan L. Dress, Roger J. Kreuz, Kristen E. Link, and Gina M. Caucci. 2008 · 2008
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Semi-supervised recognition of sarcasm 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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Are there necessary conditions for inducing a sense of sarcastic irony?
John D Campbell and Albert N Katz. 2012 · 2012
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Irony and sarcasm: Corpus generation and analysis using crowdsourcing
Elena Filatova. 2012 · 2012
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Making objective decisions from subjective data: Detecting irony in customer reviews
Antonio Reyes and Paolo Rosso. 2012 · 2012
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Sentiment strength detection for the social web
Mike Thelwall, Kevan Buckley, and Georgios Paltoglou. 2012 · 2012
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The perfect solution for detecting sarcasm in tweets #not
Christine Liebrecht, Florian Kunneman, and Antal Van den Bosch. 2013 · 2013
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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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Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Meta-level sentiment models for big social data analysis
Felipe Bravo-Marquez, Marcelo Mendoza, and Barbara Poblete. 2014 · 2014
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Distributed Representations of Sentences and Documents
Quoc Le and Tomas Mikolov. 2014 · 2014
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Who cares about sarcastic tweets? investigating the impact of sarcasm on sentiment analysis
Determining word-emotion associations from tweets by multi-label classification
F. Bravo-Marquez, E. Frank, S. M. Mohammad, and B. Pfahringer. 2016 · 2016
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Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alex Smola, and Eduard Hovy. 2016 · 2016
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Analyse d’opinion et langage figuratif dans des tweets: présentation et résultats du défi fouille de textes deft2017
Farah Benamara, Cyril Grouin, Jihen Karoui, Véronique Moriceau, and Isabelle Robba. 2017 · 2017
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WASSA-2017 shared task on emotion intensity
Saif Mohammad and Felipe Bravo-Marquez. 2017 · 2017
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Overview of the EVALITA 2018 task on irony detection in Italian tweets (IronITA)
Alessandra Teresa Cignarella, Simona Frenda, Valerio Basile, Cristina Bosco, Viviana Patti, Paolo Rosso, et al. 2018 · 2018
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Diana Maynard and Mark Greenwood. 2014 · 2014
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Sarcasm detection on czech and english twitter
Tomáš Ptáček, Ivan Habernal, and Jun Hong. 2014 · 2014
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Parsing-based sarcasm sentiment recognition in twitter data
S. K. Bharti, K. S. Babu, and S. K. Jena. 2015 · 2015
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Parsing-based sarcasm sentiment recognition in twitter data
S. K. Bharti, K. S. Babu, and S. K. Jena. 2015 · 2015
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Opinion mining in twitter how to make use of sarcasm to enhance sentiment analysis
Mondher Bouazizi and Tomoaki Ohtsuki. 2015 · 2015
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Valento: Sentiment analysis of figurative language tweets with irony and sarcasm
Delia Irazú Hernández Farías, Emilio Sulis, Viviana Patti, Giancarlo Ruffo, and Cristina Bosco. 2015 · 2015
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Harnessing context incongruity for sarcasm detection
Aditya Joshi, Vinita Sharma, and Pushpak Bhattacharyya. 2015 · 2015
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Cascade: Contextual sarcasm detection in online discussion forums
Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, and Rada Mihalcea. 2018 · 2018
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A large self-annotated corpus for sarcasm
Mikhail Khodak, Nikunj Saunshi, and Kiran Vodrahalli. 2018 · 2018
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Disan: Directional self-attention network for rnn/cnn-free language understanding
Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Shirui Pan, and Chengqi Zhang. 2018 · 2018
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Reasoning with sarcasm by reading in-between
Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and Jian Su. 2018 · 2018
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SemEval-2018 task 3: Irony detection in English tweets
Cynthia Van Hee, Els Lefever, and Veronique Hoste. 2018 · 2018
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THU_NGN at SemEval-2018 task 3: Tweet irony detection with densely connected LSTM and multi-task learning
Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, and Yongfeng Huang. 2018 · 2018
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Overview of the task on irony detection in spanish variants
Reynier Ortega Bueno, Francisco M. Rangel Pardo, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes y Gómez, and José Medina-Pagola. 2019 · 2019
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Exploring author context for detecting intended vs perceived sarcasm
Silviu Oprea and Walid Magdy. 2019 · 2019
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The effect of sociocultural variables on sarcasm communication online
Silviu Oprea and Walid Magdy. 2020 · 2020
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