UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection using generative-based and mutation-based data augmentation. (arXiv:2204.08198v4 [cs.CL] UPDATED)

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 …

analysis arxiv augmentation data detection mutation