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إثراء DataSet E2E
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تقدم هذه الدراسة نسخة مخصبة من DataSet E2E، وهي واحدة من موارد اللغة الأكثر شعبية ل NLG البيانات إلى النص.نحن نستخلص من التمثيل الوسيط لمهام خطوط الأنابيب الشعبية مثل ترتيب الخطاب، وهيكال نصية، وتعليم التعبير وإشارة التعبير،، مما يتيح الباحثين على تطوير وتقييم أنظمة خطوط أنابيب البيانات إلى النص بسرعة.يتم استخراج التمثيل الوسيط من خلال محاذاة التمثيلات غير اللغوية والنصية من خلال عملية تسمى Delexicalization، والتي تتألف في استبدال الإدخال بإحالة التعبيرات إلى الكيانات / السمات مع العناصر النائبة.مجموعة البيانات المخصبة متاحة للجمهور.
This study introduces an enriched version of the E2E dataset, one of the most popular language resources for data-to-text NLG. We extract intermediate representations for popular pipeline tasks such as discourse ordering, text structuring, lexicalization and referring expression generation, enabling researchers to rapidly develop and evaluate their data-to-text pipeline systems. The intermediate representations are extracted by aligning non-linguistic and text representations through a process called delexicalization, which consists in replacing input referring expressions to entities/attributes with placeholders. The enriched dataset is publicly available.
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