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Register a new userNEREL: A Russian Dataset with Nested Named Entities, Relations and Events
نيريل: مجموعة بيانات روسية مع الكيانات المسماة المتداخلة والعلاقات والأحداث
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في هذه الورقة، نقدم نيريل، مجموعة بيانات روسية للتعرف على الكيان المسمى واستخراج العلاقة.نيريل أكبر بكثير من مجموعات البيانات الروسية القائمة: حتى الآن تحتوي على 56 كيلو كيانات المسماة المشروحة وعلاقات مشروحة 39 ألفا.الفرق المهم له من مجموعات البيانات السابقة هو شرح للكيانات المسماة المتداخلة، وكذلك العلاقات داخل الكيانات المتداخلة وفي مستوى الخطاب.يمكن أن تسهل نيريل تطوير نماذج جديدة يمكنها استخراج العلاقات بين الكيانات المسماة المتداخلة، وكذلك العلاقات في كل من المستويات والوثائق.يحتوي نيريل أيضا على شرح الأحداث التي تنطوي على الكيانات المسماة وأدوارها في الأحداث.تتوفر مجموعة Nerel عبر https://github.com/nerel-ds/nerel.
In this paper, we present NEREL, a Russian dataset for named entity recognition and relation extraction. NEREL is significantly larger than existing Russian datasets: to date it contains 56K annotated named entities and 39K annotated relations. Its important difference from previous datasets is annotation of nested named entities, as well as relations within nested entities and at the discourse level. NEREL can facilitate development of novel models that can extract relations between nested named entities, as well as relations on both sentence and document levels. NEREL also contains the annotation of events involving named entities and their roles in the events. The NEREL collection is available via https://github.com/nerel-ds/NEREL.
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