Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
This addresses a gap for researchers and developers working on semantic QA systems, but it is incremental as it builds on existing event-centric knowledge graphs.
The authors tackled the lack of datasets for event-centric question answering over knowledge graphs by introducing Event-QA, a dataset containing 1000 semantic queries with verbalizations in English, German, and Portuguese for EventKG, which has over 970,000 events.
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.