DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
Abstract: 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.
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@inproceedings{DBLP:conf/birws/BanerjeeAUB23,
author = {Debayan Banerjee and
Sushil Awale and
Ricardo Usbeck and
Chris Biemann},
editor = {Ingo Frommholz and
Philipp Mayr and
Guillaume Cabanac and
Suzan Verberne and
Jordan Brennan},
title = {DBLP-QuAD: {A} Question Answering Dataset over the {DBLP} Scholarly
Knowledge Graph},
booktitle = {Proceedings of the 13th International Workshop on Bibliometric-enhanced
Information Retrieval co-located with 45th European Conference on
Information Retrieval {(ECIR} 2023), Dublin, Ireland, April 2nd, 2023},
series = {{CEUR} Workshop Proceedings},
volume = {3617},
pages = {37--51},
publisher = {CEUR-WS.org},
year = {2023},
url = {https://ceur-ws.org/Vol-3617/paper-05.pdf},
timestamp = {Wed, 17 Jan 2024 17:12:17 +0100},
biburl = {https://dblp.org/rec/conf/birws/BanerjeeAUB23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}