يشكل التعميم الشامل مسألة مهمة للكشف عن الموقف (SD).في هذه الورقة القصيرة، نقوم بالتحقيق في SD الصلبة العدسة، حيث يتم الاستفادة من المعرفة من البيانات التي تم إنشاؤها من قبل المستخدم لتحسين الأخبار SD على أهداف غير مرئية أثناء التدريب.نقوم بتنفيذ شبكة مخدرة قائمة على Bert وتظهر تحسينات الأداء التجريبية على مجموعة من خطوط الأساس القوية.بالنظر إلى وفرة البيانات التي تم إنشاؤها من قبل المستخدم، والتي تكون أقل تكلفة بكثير لاسترداد وتعليقها من المقالات الإخبارية، فإن هذا يشكل اتجاها بحثا واعدا.
Cross-target generalization constitutes an important issue for news Stance Detection (SD). In this short paper, we investigate adversarial cross-genre SD, where knowledge from annotated user-generated data is leveraged to improve news SD on targets unseen during training. We implement a BERT-based adversarial network and show experimental performance improvements over a set of strong baselines. Given the abundance of user-generated data, which are considerably less expensive to retrieve and annotate than news articles, this constitutes a promising research direction.
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