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Register a new userDIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Dialki: تحديد المعرفة في أنظمة المحادثة من خلال حوار الوثيقة الحوار
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إن تحديد المعرفة ذات الصلة التي سيتم استخدامها في أنظمة المحادثة التي تستند إلى وثائق طويلة أمر بالغ الأهمية لتوليد الاستجابة الفعال.نقدم نموذج تعريف المعرفة الذي يرفع بنية المستند إلى توفير ترميزات مرور محكوم بحري للحوار ومعرفة تحديد المواقع ذات الصلة بالمحادثة.خسارة مساعدة تلتقط تاريخ اتصالات الوثيقة الحوار.نوضح فعالية نموذجنا على مجموعة بيانات المحادثة المدرجة في المستندات وتوفير التحليلات التي تظهر التعميم على المستندات غير المرئية وسياقات الحوار الطويلة.
Identifying relevant knowledge to be used in conversational systems that are grounded in long documents is critical to effective response generation. We introduce a knowledge identification model that leverages the document structure to provide dialogue-contextualized passage encodings and better locate knowledge relevant to the conversation. An auxiliary loss captures the history of dialogue-document connections. We demonstrate the effectiveness of our model on two document-grounded conversational datasets and provide analyses showing generalization to unseen documents and long dialogue contexts.
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