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A Report on the 2020 Sarcasm Detection Shared Task
May 12, 2020 ยท Declared Dead ยท ๐ FIGLANG
"No code URL or promise found in abstract"
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Authors
Debanjan Ghosh, Avijit Vajpayee, Smaranda Muresan
arXiv ID
2005.05814
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
65
Venue
FIGLANG
Last Checked
4 months ago
Abstract
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in natural language processing. As the community working on computational approaches for sarcasm detection is growing, it is imperative to conduct benchmarking studies to analyze the current state-of-the-art, facilitating progress in this area. We report on the shared task on sarcasm detection we conducted as a part of the 2nd Workshop on Figurative Language Processing (FigLang 2020) at ACL 2020.
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