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Register a new userImproving Hate Speech Type and Target Detection with Hateful Metaphor Features
تحسين نوع خطاب الكراهية والكشف المستهدف مع ميزات الاستعارة البغيضة
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نحن ندرس فائدة ميزات المعدات الباردة لتحديد نوع وهدف خطاب الكراهية في تعليقات Facebook الهولندية.لهذا الغرض، تم تفاح جميع الاستعارات البغيضة في كوربوس الهولندية Lilah Corpus وتفسيرها بما يتماشى مع نظرية الاستعارة المفاهيمية وتحليل الاستعارة الحرج.نحن نقدم نتائج SVM وبرت / روبرتا، والتحقيق في تأثير طرق ترميز معلومات الاستعارة المختلفة على نوع خطاب الكراهية ودقة الكشف المستهدف.تظهر نتائج التجارب التي أجريت أن ميزات الاستعارة البغيضة تحسين الأداء النموذجي لهذه المهام.لمعرفتنا، هذه هي المرة الأولى التي يتم فيها التحقق من فعالية الاستعارات البغيضة كمصدر معلومات لتصنيف Hatespeech.
We study the usefulness of hateful metaphorsas features for the identification of the type and target of hate speech in Dutch Facebook comments. For this purpose, all hateful metaphors in the Dutch LiLaH corpus were annotated and interpreted in line with Conceptual Metaphor Theory and Critical Metaphor Analysis. We provide SVM and BERT/RoBERTa results, and investigate the effect of different metaphor information encoding methods on hate speech type and target detection accuracy. The results of the conducted experiments show that hateful metaphor features improve model performance for the both tasks. To our knowledge, it is the first time that the effectiveness of hateful metaphors as an information source for hatespeech classification is investigated.
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