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Register a new userA Baseline Document Planning Method for Automated Journalism
طريقة تخطيط المستندات الأساسي للصحافة الآلية
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في هذا العمل، نقدم طريقة لاختيار المحتوى وتخطيط المستندات للأخبار الآلية وتوليد التقارير من البيانات الإحصائية المهيكلة مثل تلك التي تقدمها الوكالة الإحصائية للاتحاد الأوروبي، يوروستات.هذه الطريقة مدفوعة بالبيانات وهي موضوع كبير مستقلة داخل مجال مجموعة البيانات الإحصائية.نظرا لأن نهجنا لا يعتمد على التعلم الآلي، فهو مناسب لإدخال أتمتة الأخبار إلى مجموعة واسعة من المجالات حيث لا توجد بيانات تدريبية متاحة.على هذا النحو، فإنه مناسب كتكلفة منخفضة (من حيث جهود التنفيذ) خط الأساس له هيكلة المستند قبل إدخال المعرفة الخاصة بالمجال.
In this work, we present a method for content selection and document planning for automated news and report generation from structured statistical data such as that offered by the European Union's statistical agency, EuroStat. The method is driven by the data and is highly topic-independent within the statistical dataset domain. As our approach is not based on machine learning, it is suitable for introducing news automation to the wide variety of domains where no training data is available. As such, it is suitable as a low-cost (in terms of implementation effort) baseline for document structuring prior to introduction of domain-specific knowledge.
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