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YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need

Youngsheldon في Semeval-2021 Task 7: Tuning Fine-Tuning هو كل ما تحتاجه

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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In this paper, we describe our system used for SemEval 2021 Task 7: HaHackathon: Detecting and Rating Humor and Offense. We used a simple fine-tuning approach using different Pre-trained Language Models (PLMs) to evaluate their performance for humor and offense detection. For regression tasks, we averaged the scores of different models leading to better performance than the original models. We participated in all SubTasks. Our best performing system was ranked 4 in SubTask 1-b, 8 in SubTask 1-c, 12 in SubTask 2, and performed well in SubTask 1-a. We further show comprehensive results using different pre-trained language models which will help as baselines for future work.



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