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Register a new userMUDES: Multilingual Detection of Offensive Spans
muches: الكشف المتعدد اللغات عن الاميوان الهجومية
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نمت الاهتمام بتحديد المحتوى الهجومي في وسائل التواصل الاجتماعي بشكل كبير في السنوات الأخيرة.تعامل العمل السابق في الغالب مع التعليقات التوضيحية على مستوى المشاركة.ومع ذلك، فإن تحديد المواقف الهجومية مفيد بطرق عديدة.للمساعدة في التعامل مع هذا التحدي المهم، نقدم MUSES، وهو نظام متعدد اللغات لاكتشاف يمتد الهجومية في النصوص.تتميز MUSES بنماذج مدربة مسبقا، و API بيثون للمطورين، وواجهة سهلة الاستخدام على الويب.يتم تقديم وصف مفصل لمكونات الطين في هذه الورقة.
The interest in offensive content identification in social media has grown substantially in recent years. Previous work has dealt mostly with post level annotations. However, identifying offensive spans is useful in many ways. To help coping with this important challenge, we present MUDES, a multilingual system to detect offensive spans in texts. MUDES features pre-trained models, a Python API for developers, and a user-friendly web-based interface. A detailed description of MUDES' components is presented in this paper.
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