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Register a new userThe FairyNet Corpus - Character Networks for German Fairy Tales
The Fairynet Corpus - شبكات الأحرف من أجل حكايات خرافية الألمانية
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تقدم هذه الورقة مجموعة بيانات من حكايات خرافية الألمانية، المشروح يدويا مع شبكات الأحرف التي تم الحصول عليها مع اتفاق متزايد في الترحيل.يوفر إصدار هذه الدولة فرصة للتدريب ومقارنة خوارزميات مختلفة لاستخراج شبكات الأحرف، والتي كانت بالكاد حتى الآن بسبب المصالح غير المتجانسة للباحثين السابقين.نوضح فائدة بياناتنا المحددة من خلال توفير تجارب أساسية لاستخراج شبكات الأحرف التلقائية، وتطبيق خط أنابيب قائم على القواعد وكذلك النهج العصبي، والعثور على النهج العصبي تفوق نهج القواعد في معظم إعدادات التقييم.
This paper presents a data set of German fairy tales, manually annotated with character networks which were obtained with high inter rater agreement. The release of this corpus provides an opportunity of training and comparing different algorithms for the extraction of character networks, which so far was barely possible due to heterogeneous interests of previous researchers. We demonstrate the usefulness of our data set by providing baseline experiments for the automatic extraction of character networks, applying a rule-based pipeline as well as a neural approach, and find the neural approach outperforming the rule-approach in most evaluation settings.
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