IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
This is an incremental contribution to sarcasm detection in NLP, primarily for researchers in computational linguistics.
The paper tackled the problem of identifying intended sarcasm in English by participating in SemEval 2022 Task 6, achieving ranks of 19th out of 43 teams for sub-task A, 8th out of 22 for sub-task B, and 13th out of 16 for sub-task C.
This paper describes the system architectures and the models submitted by our team "IISERBBrains" to SemEval 2022 Task 6 competition. We contested for all three sub-tasks floated for the English dataset. On the leader-board, wegot19th rank out of43 teams for sub-taskA, the 8th rank out of22 teams for sub-task B,and13th rank out of 16 teams for sub-taskC. Apart from the submitted results and models, we also report the other models and results that we obtained through our experiments after organizers published the gold labels of their evaluation data