High Tech team at SemEval-2022 Task 6: Intended Sarcasm Detection for Arabic texts

Hamza Alami, Abdessamad Benlahbib, Ahmed Alami · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022

This paper presents our proposed methods for iSarcasmEval shared task.The shared task consists of three different subtasks.We participate in both subtask A and subtask C. The purpose of the subtask A was to predict if a text is sarcastic while the aim of subtask C is to determine which text is sarcastic given a sarcastic text and its non-sarcastic rephrase.Both of the developed solutions used BERT pre-trained models.The proposed models are optimized on simple objectives and easy to grasp.However, despite their simplicity our methods ranked 4 and 2 in iSarcasmEval subtask A and subtask C for Arabic texts.

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