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.
@article{arxiv.2004.11861,
title = {Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs},
author = {Tarcísio Souza Costa and Simon Gottschalk and Elena Demidova},
journal= {arXiv preprint arXiv:2004.11861},
year = {2020}
}
Comments
(c) 2020 Copyright held by the authors. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive version was published in the Proceedings of the 29th ACM International Conference on Information and Knowledge Management, https://doi.org/10.1145/3340531.3412760