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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Tarcísio Souza Costa
  • Simon Gottschalk
  • Elena Demidova

Organisationseinheiten

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksCIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten3157-3164
Seitenumfang8
ISBN (elektronisch)9781450368599
PublikationsstatusVeröffentlicht - 19 Okt. 2020
Veranstaltung29th ACM International Conference on Information and Knowledge Management - online, Virtual, Online, Irland
Dauer: 19 Okt. 202023 Okt. 2020

Publikationsreihe

NameInternational 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.

Zitieren

Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. / Souza Costa, Tarcísio; Gottschalk, Simon; Demidova, Elena.
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/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Souza Costa, T, Gottschalk, S & Demidova, E 2020, Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. in CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery (ACM), S. 3157-3164, 29th ACM International Conference on Information and Knowledge Management, Virtual, Online, Irland, 19 Okt. 2020. https://doi.org/10.48550/arXiv.2004.11861, https://doi.org/10.1145/3340531.3412760
Souza Costa, T., Gottschalk, S., & Demidova, E. (2020). Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. In CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management (S. 3157-3164). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery (ACM). https://doi.org/10.48550/arXiv.2004.11861, https://doi.org/10.1145/3340531.3412760
Souza Costa T, Gottschalk S, Demidova E. Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. in 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). doi: 10.48550/arXiv.2004.11861, 10.1145/3340531.3412760
Souza Costa, Tarcísio ; Gottschalk, Simon ; Demidova, Elena. / Event-QA : A Dataset for Event-Centric Question Answering over Knowledge Graphs. 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).
Download
@inproceedings{aaee694b4f3d4f92b9f87cbce8bebb1e,
title = "Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs",
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",
author = "{Souza Costa}, Tarc{\'i}sio and Simon Gottschalk and Elena Demidova",
note = "Funding Information: This work was partially funded by the European Research Council under Cleopatra (H2020-MSCA-ITN-2018 812997). Tarc{\'i}sio Souza Costa is sponsored by a scholarship from CNPq, a Brazilian government institution for scientific development.; 29th ACM International Conference on Information and Knowledge Management, CIKM 2020 ; Conference date: 19-10-2020 Through 23-10-2020",
year = "2020",
month = oct,
day = "19",
doi = "10.48550/arXiv.2004.11861",
language = "English",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery (ACM)",
pages = "3157--3164",
booktitle = "CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management",
address = "United States",

}

Download

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 -