# Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs

Source: [Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs](<https://www.sota2.com/research/paper/68fa68181e209131cea1a31a>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T22:29:00.055Z

Authors: Tarc\\'isio Souza Costa, Simon Gottschalk, Elena Demidova

Published: 2020-04-24T17:11:37.000Z

## Abstract

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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2004.11861>)

[PDF](<https://arxiv.org/pdf/2004.11861.pdf>)