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Register a new userPRIDE: Predicting Relationships in Conversations
فخر: التنبؤ بالعلاقات في المحادثات
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استخراج العلاقات الشخصية تلقائيا من محاور المحادثة يمكن أن تثري قواعد المعرفة الشخصية لتعزيز البحث المخصص والتوتيات واللقات.لاستنتاج علاقات المتحدثين من الحوارات، نقترح فخر، وهو مصنف متعدد الملصقات العصبية، بناء على بيرتف ومحول لإنشاء تمثيل محادثة.يستخدم BRIDE هيكل الحوار ويزيده بالمعرفة الخارجية حول ميزات المتحدث ومصمم المحادثة. مثل الأعمال السابقة، نحن نعلم التنبؤ متعدد التسميات لعلاقات الحبيبات الجميلة.نطلق سراح مجموعات بيانات واسعة النطاق، بناء على ScreenPlays من الأفلام والعروض التلفزيونية، مع علاقات موجهة للمشاركين المحادثة.تظهر تجارب واسعة النطاق على كلتا البيانات الأداء فائقة من الفخر مقارنة بناسيات الأحدث.
Automatically extracting interpersonal relationships of conversation interlocutors can enrich personal knowledge bases to enhance personalized search, recommenders and chatbots. To infer speakers' relationships from dialogues we propose PRIDE, a neural multi-label classifier, based on BERT and Transformer for creating a conversation representation. PRIDE utilizes dialogue structure and augments it with external knowledge about speaker features and conversation style.Unlike prior works, we address multi-label prediction of fine-grained relationships. We release large-scale datasets, based on screenplays of movies and TV shows, with directed relationships of conversation participants. Extensive experiments on both datasets show superior performance of PRIDE compared to the state-of-the-art baselines.
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