niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?
Nikhil Kumar Singh · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
This paper presents the 10th and 11th place system for Subtask A -English and Subtask A -Arabic respectively of the SemEval 2022 -Task 6.The purpose of the Subtask A was to classify a given text sequence into sarcastic and nonsarcastic.We also breifly cover our method for Subtask B which performed subpar when compared with most of the submissions on the official leaderboard .All of the developed solutions used a transformers based language model for encoding the text sequences with necessary changes of the pretrained weights and classifier according to the language and subtask at hand .