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Register a new userImplicitly Abusive Language -- What does it actually look like and why are we not getting there?
لغة مسيئة ضمنيا - ما الذي يبدو عليه بالفعل ولماذا لا نصل إلى هناك؟
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الكشف عن اللغة المسيئة هو حقل ناشئ في معالجة اللغة الطبيعية تلقت قدرا كبيرا من الاهتمام مؤخرا.لا يزال نجاح الكشف التلقائي محدود.لا سيما، كشف اللغة المسيئة ضمنيا، أي لغة مسيئة لا تنقلها كلمات مسيئة (مثل dumbass أو حثالة)، لا تعمل بشكل جيد.في هذه الورقة الموضعية، نوضح لماذا تجعل مجموعات البيانات الحالية التعلم إساءة استخدام ضمني صعبة وما يجب تغييره في تصميم مثل هذه البيانات.جدال لاستراتيجية الأقسام والانقسام، نقدم قائمة فرعية من اللغة المسيئة الضمنيا وصياغة المهام والأسئلة البحثية للبحث في المستقبل.
Abusive language detection is an emerging field in natural language processing which has received a large amount of attention recently. Still the success of automatic detection is limited. Particularly, the detection of implicitly abusive language, i.e. abusive language that is not conveyed by abusive words (e.g. dumbass or scum), is not working well. In this position paper, we explain why existing datasets make learning implicit abuse difficult and what needs to be changed in the design of such datasets. Arguing for a divide-and-conquer strategy, we present a list of subtypes of implicitly abusive language and formulate research tasks and questions for future research.
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