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Sarcasm is an intricate form of speech, where meaning is conveyed implicitly.
Semi-supervised recognition of sarcasm in twitter and Amazon
Dmitry Davidov, Oren Tsur, and Ari Rappoport. 2010 · 2010
Earlier work this paper cites.
Identifying sarcasm in twitter: A closer look
Roberto González-Ibáñez, Smaranda Muresan, and Nina Wacholder. 2011 · 2011
Earlier work this paper cites.
Humans require context to infer ironic intent (so computers probably do, too)
Byron C. Wallace, Do Kook Choe, Laura Kertz, and Eugene Charniak. 2014 · 2014
Earlier work this paper cites.
Contextualized sarcasm detection on twitter
David Bamman and Noah A. Smith. 2015 · 2015
Earlier work this paper cites.
Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, and Mark J. Carman. 2016 · 2016
Earlier work this paper cites.
Detecting sarcasm in multimodal social platforms
Rossano Schifanella, Paloma Juan, Joel Tetreault, and Liangliang Cao. 2016 · 2016
Cited alongside, same era.
Are you serious?: Rhetorical questions and sarcasm in social media dialog
Shereen Oraby, Vrindavan Harrison, Amita Misra, Ellen Riloff, and Marilyn Walker. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Sarcasm analysis using conversation context
Debanjan Ghosh, Alexander Fabbri, and Smaranda Muresan. 2018 · 2018
Cited alongside, same era.
Multi-modal sarcasm detection in twitter with hierarchical fusion model
Yitao Cai, Huiyu Cai, and Xiaojun Wan. 2019 · 2019
Later among the works it cites.
Humor detection: A transformer gets the last laugh
Orion Weller and Kevin D. Seppi. 2019 · 2019
Later among the works it cites.
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. 2020 · 2020
Closest in time.
Towards detection of subjective bias using contextualized word embeddings
Kartikey Pant, Tanvi Dadu, and Radhika Mamidi. 2020 · 2020
Closest in time.
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