Details
| Original language | English |
|---|---|
| Title of host publication | CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 3157-3164 |
| Number of pages | 8 |
| ISBN (electronic) | 9781450368599 |
| Publication status | Published - 19 Oct 2020 |
| Event | 29th ACM International Conference on Information and Knowledge Management, CIKM 2020 - online, Virtual, Online, Ireland Duration: 19 Oct 2020 → 23 Oct 2020 |
Publication series
| 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.
Keywords
- dataset, events, knowledge graphs, question answering
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- General Business,Management and Accounting
- Decision Sciences(all)
- General Decision Sciences
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), 2020. p. 3157-3164 (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -