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Register a new userAdversarial Learning for Zero-Shot Stance Detection on Social Media
التعلم الخصم للكشف عن موقف صفر لقطة على وسائل التواصل الاجتماعي
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يمكن للكشف عن الموقف على وسائل التواصل الاجتماعي المساعدة في تحديد وفهم الأخبار أو التعليق المائل في الحياة اليومية.في هذا العمل، نقترح نموذجا جديدا للكشف عن موقف صفرية على Twitter يستخدم التعلم الخصم للتعميم عبر الموضوعات.ينص نموذجنا على الأداء الحديث في عدد من موضوعات الاختبار غير المرئية بأقل تكلفة حسابية.بالإضافة إلى ذلك، فإننا نقوم بإعادة اكتشاف موقف الرصاص في الصفر إلى المواضيع التي لم تعتبر سابقا، وتسليط الضوء على الاتجاهات المستقبلية للتحويل الصفر بالرصاص.
Stance detection on social media can help to identify and understand slanted news or commentary in everyday life. In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics. Our model achieves state-of-the-art performance on a number of unseen test topics with minimal computational costs. In addition, we extend zero-shot stance detection to topics not previously considered, highlighting future directions for zero-shot transfer.
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