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UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection using generative-based and mutation-based data augmentation. (arXiv:2204.08198v2 [cs.CL] UPDATED)
Web: http://arxiv.org/abs/2204.08198
May 6, 2022, 1:11 a.m. | Amirhossein Abaskohi, Arash Rasouli, Tanin Zeraati, Behnam Bahrak
cs.CL updates on arXiv.org arxiv.org
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse
someone. It is commonly used on social media. The metaphorical and creative
nature of sarcasm presents a significant difficulty for sentiment analysis
systems based on affective computing. The methodology and results of our team,
UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in
this paper. We put different models, and data augmentation approaches to the
test and report on which …
More from arxiv.org / cs.CL updates on arXiv.org
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