论文标题
event-qa：一个以事件为中心问题的数据集在知识图上回答
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
论文作者
论文摘要
语义问题回答（QA）是一项至关重要的技术，可促进直观的用户访问知识图中存储的语义信息。尽管大多数现有的质量检查系统和数据集都集中在以实体为中心的问题上，但在事件的背景下，这些系统的性能知之甚少。随着新的以事件为中心的知识图的出现，此类问题的数据集具有重要意义。在本文中，我们介绍了QA数据集，用于通过知识图回答以事件为中心的问题。 event-qa包含1000个语义查询以及EventKG的相应英语，德语和葡萄牙语 - 一个以事件为中心的知识图，其中有超过9.7万事件。
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.
