arXiv Open Access 2020

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

Tarcísio Souza Costa Simon Gottschalk Elena Demidova

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Abstrak

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.

Topik & Kata Kunci

cs.CL cs.AI

Penulis (3)

Tarcísio Souza Costa

Simon Gottschalk

Elena Demidova

Format Sitasi

APA MLA BibTeX

Costa, T.S., Gottschalk, S., Demidova, E. (2020). Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. https://arxiv.org/abs/2004.11861

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓