توفر هذه الورقة نظرة عامة مفصلة للنظام ونتائجها، والتي تم إنتاجها كجزء من المهمة المشتركة NLP4IF بشأن مكافحة المعكرات المعاكسة 19 في Naacl 2021. هذه المهمة تم إنجازها باستخدام مجموعة متنوعة من التقنيات.استخدمنا نماذج التمثيل النصية الحديثة للسياق التي كانت تم ضبطها بشكل جيد لمهمة المصب في متناول اليد.تم استخدام Arbert، Marbert، أرابيرت، ألبرت العربي وألبرت والقاعدة العربية.وفقا للنتائج، كان لدى Bert-Base-Arabic أعلى درجة 0.784 F1 في مجموعة الاختبار.
This paper provides a detailed overview of the system and its outcomes, which were produced as part of the NLP4IF Shared Task on Fighting the COVID-19 Infodemic at NAACL 2021. This task is accomplished using a variety of techniques. We used state-of-the-art contextualized text representation models that were fine-tuned for the downstream task in hand. ARBERT, MARBERT,AraBERT, Arabic ALBERT and BERT-base-arabic were used. According to the results, BERT-base-arabic had the highest 0.784 F1 score on the test set.
References used
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