DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG). DBLP is an on-line reference for bibliographic information on major computer science publications that indexes over 4.4 million publications published by more than 2.2 million authors. Our dataset consists of 10,000 question answer pairs with the corresponding SPARQL queries which can be executed over the DBLP KG to fetch the correct answer. DBLP-QuAD is the largest scholarly question answering dataset.
OriginalspracheEnglisch
TitelBIR 2023 - Bibliometric-enhanced Information Retrieval : Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023)
HerausgeberIngo Frommholz, Philipp Mayr, Guillaume Cabanac, Suzan Verberne, Jordan Brennan
Anzahl der Seiten15
ErscheinungsortAachen
VerlagSun Site Central Europe (RWTH Aachen University)
Erscheinungsdatum17.01.2024
Aufsatznummer5
DOIs
PublikationsstatusErschienen - 17.01.2024
Extern publiziertJa
Veranstaltung13th International Workshop on Bibliometric-enhanced Information Retrieval - BIR 2023 - Dublin, Irland
Dauer: 02.04.202302.04.2023
Konferenznummer: 13
https://ceur-ws.org/Vol-3617/
https://sites.google.com/view/bir-ws/bir-2023

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DOI

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Forschende

  1. Maya Wendler

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