Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management |
| Herausgeber (Verlag) | Association for Computing Machinery (ACM) |
| Seiten | 3157-3164 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781450368599 |
| Publikationsstatus | Veröffentlicht - 19 Okt. 2020 |
| Veranstaltung | 29th ACM International Conference on Information and Knowledge Management - online, Virtual, Online, Irland Dauer: 19 Okt. 2020 → 23 Okt. 2020 |
Publikationsreihe
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
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.
ASJC Scopus Sachgebiete
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Allgemeine Unternehmensführung und Buchhaltung
- Entscheidungswissenschaften (insg.)
- Allgemeine Entscheidungswissenschaften
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CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), 2020. S. 3157-3164 (International Conference on Information and Knowledge Management, Proceedings).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Event-QA
T2 - 29th ACM International Conference on Information and Knowledge Management, CIKM 2020
AU - Souza Costa, Tarcísio
AU - Gottschalk, Simon
AU - Demidova, Elena
N1 - Funding Information: This work was partially funded by the European Research Council under Cleopatra (H2020-MSCA-ITN-2018 812997). Tarcísio Souza Costa is sponsored by a scholarship from CNPq, a Brazilian government institution for scientific development.
PY - 2020/10/19
Y1 - 2020/10/19
N2 - 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.
AB - 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.
KW - dataset
KW - events
KW - knowledge graphs
KW - question answering
UR - http://www.scopus.com/inward/record.url?scp=85095864014&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2004.11861
DO - 10.48550/arXiv.2004.11861
M3 - Conference contribution
AN - SCOPUS:85095864014
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 3157
EP - 3164
BT - CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
PB - Association for Computing Machinery (ACM)
Y2 - 19 October 2020 through 23 October 2020
ER -