Semantic Question Answering (QA) is a crucial technology to facilitate intuitive user access to semantic information stored in knowledge graphs. Whereas most of the existing QA systems and datasets focus on entity-centric questions, very little is known about these systems' performance in the context of events. As new event-centric knowledge graphs emerge, datasets for such questions gain importance. In this paper, we present the Event-QA dataset for answering event-centric questions over knowledge graphs. Event-QA contains 1000 semantic queries and the corresponding English, German and Portuguese verbalizations for EventKG - an event-centric knowledge graph with more than 970 thousand events.
翻译:语义问题解答(QA)是便利用户直觉访问知识图中储存的语义信息的关键技术。 大部分现有的质量保证系统和数据集侧重于实体中心问题,但对于这些系统在事件背景下的性能却知之甚少。 随着新的以事件为中心的知识图的出现,这些问题的数据集变得日益重要。 在本文中,我们展示了用于回答知识图中以事件为中心的问题的“事件-质量控制”数据集。 “ 事件-QA”包含1000个语义查询和相应的“事件-KG”英语、德语和葡萄牙语语句。 “事件-QA”是一个以事件为中心的知识图,有970 000多个事件。