Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet


  • Aleksandr Perevalov
  • Xi Yan
  • Liubov Kovriguina
  • Longquan Jiang
  • Andreas Both
  • Ricardo Usbeck

Data-driven systems need to be evaluated to establish trust in the scientific approach and its applicability. In particular, this is true for Knowledge Graph (KG) Question Answering (QA), where complex data structures are made accessible via natural-language interfaces. Evaluating the capabilities of these systems has been a driver for the community for more than ten years while establishing different KGQA benchmark datasets. However, comparing different approaches is cumbersome. The lack of existing and curated leaderboards leads to a missing global view over the research field and could inject mistrust into the results. In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust. In this paper, we survey and analyze a wide range of evaluation results with significant coverage of 100 publications and 98 systems from the last decade. We provide a new central and open leaderboard for any KGQA benchmark dataset as a focal point for the community - Our analysis highlights existing problems during the evaluation of KGQA systems. Thus, we will point to possible improvements for future evaluations.

Titel2022 Language Resources and Evaluation Conference, LREC 2022
HerausgeberNicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis
Anzahl der Seiten10
VerlagEuropean Language Resources Association (ELRA)
ISBN (elektronisch)9791095546726
PublikationsstatusErschienen - 2022
Extern publiziertJa
Veranstaltung13th International Conference on Language Resources and Evaluation Conference - LREC 2022: Identify, Describe and Share your LRs! - Palais du Pharo, Marseille, Frankreich
Dauer: 20.06.202225.06.2022
Konferenznummer: 13

Bibliographische Notiz

Funding Information:
The authors also acknowledge the financial support by the Federal Ministry for Economic Affairs and Energy of Germany in the project CoyPu (project number 01MK21007G).

Funding Information:
The authors also acknowledge the financial support by the Federal Ministry for Economic Affairs and En-

Publisher Copyright:
© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.