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Register a new user``Be nice to your wife! The restaurants are closed'': Can Gender Stereotype Detection Improve Sexism Classification?
`كن لطيفا لزوجتك!يتم إغلاق المطاعم ": هل يمكن للكشف عن التصنيف الجنساني بين الجنسين؟
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في هذه الورقة، نركز على اكتشاف خطاب الكراهية الجنسية ضد المرأة في تغريدات الدراسة لأول مرة تأثير الكشف عن التصنيف الجنساني حول التصنيف الجنساني.نقترح: (1) البيانات الأولى المشروحة للكشف عن النمط الجنساني، (2) طريقة جديدة لتعزيز البيانات بناء على تشابه الجملة مع مجموعات بيانات خارجية متعددة اللغات، و (3) مجموعة من تجارب التعلم العميق أولا للكشف عن القوالب النمطية الجنسانية ثم، لاستخدام هذه المهمة الإضافية للكشف عن الجنسين.على الرغم من أن وجود الصور النمطية لا ينطوي بالضرورة على المحتوى البغيض، إلا أن نتائجنا تظهر أن التصنيف الجنسي يمكن أن يستفيد بشكل نهائي من اكتشاف الصورة النمطية الجنسانية.
In this paper, we focus on the detection of sexist hate speech against women in tweets studying for the first time the impact of gender stereotype detection on sexism classification. We propose: (1) the first dataset annotated for gender stereotype detection, (2) a new method for data augmentation based on sentence similarity with multilingual external datasets, and (3) a set of deep learning experiments first to detect gender stereotypes and then, to use this auxiliary task for sexism detection. Although the presence of stereotypes does not necessarily entail hateful content, our results show that sexism classification can definitively benefit from gender stereotype detection.
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