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Register a new userPersonalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios
ملخصات استخراجية شخصية باستخدام آلة ISING تجاه الجيل في الوقت الحقيقي من سيناريوهات الحوار الفعالة والمتماسكة
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نقترح نظام توليد سيناريو حوار شخصي ينقل معلومات فعالة ومتماسكة مع طريقة تلخيص الاستخراجية في الوقت الفعلي محسن بواسطة جهاز ISING.يتم صياغة مشكلة التوزيع كمشكلة تحسين ثنائي غير مكسومة من الدرجة الثانية، والتي تستخرج الجمل التي تعظيم مجموع درجة فائدة المستخدم في جمل الوثائق مع هيكل الخطاب لكل وثيقة ووقت الكلام الكلي كقيود.لتقييم الطريقة المقترحة، قمنا ببناء مقالة إخبارية كوربوس بشراح بنية الخطاب ومحات المستخدمين ومصالحهم في الجمل والمواضيع.أكدت النتائج التجريبية أن المروحة الرقمية، التي تعد آلة ISINE HELLING مقرا لها، يمكن أن تحل طراز Quebo الخاص بنا في وقت عملي دون انتهاك القيود باستخدام هذه البيانات.
We propose a personalized dialogue scenario generation system which transmits efficient and coherent information with a real-time extractive summarization method optimized by an Ising machine. The summarization problem is formulated as a quadratic unconstraint binary optimization (QUBO) problem, which extracts sentences that maximize the sum of the degree of user's interest in the sentences of documents with the discourse structure of each document and the total utterance time as constraints. To evaluate the proposed method, we constructed a news article corpus with annotations of the discourse structure, users' profiles, and interests in sentences and topics. The experimental results confirmed that a Digital Annealer, which is a simulated annealing-based Ising machine, can solve our QUBO model in a practical time without violating the constraints using this dataset.
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