EventEA

该数据集名为EventEA，旨在为不同事件中心知识图谱之间的实体对齐提供一个基准测试，特别关注异构关系和属性所带来的挑战。该数据集包含了跨语言的设置，强调实体名称和属性值之间存在强烈的异质性。其规模涵盖了20,000个事件对齐实体对，任务定位于事件中心知识图谱的实体对齐。This dataset, named EventEA, is designed as a benchmark for entity alignment across event-centric knowledge graphs, with a particular focus on the challenges posed by heterogeneous relations and attributes. It features a cross-lingual setup, emphasizing the significant heterogeneity between entity names and attribute values. It encompasses 20,000 event-aligned entity pairs, and the task is targeted at entity alignment for event-centric knowledge graphs.