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

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

  • 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 - https://kgqa.github.io/leaderboard/. Our analysis highlights existing problems during the evaluation of KGQA systems. Thus, we will point to possible improvements for future evaluations.

Original languageEnglish
Title of host publication2022 Language Resources and Evaluation Conference, LREC 2022
EditorsNicoletta 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
Number of pages10
PublisherEuropean Language Resources Association (ELRA)
Publication date2022
Pages2998-3007
ISBN (electronic)9791095546726
Publication statusPublished - 2022
Externally publishedYes
Event13th International Conference on Language Resources and Evaluation Conference - LREC 2022: Identify, Describe and Share your LRs! - Palais du Pharo, Marseille, France
Duration: 20.06.202225.06.2022
Conference number: 13
https://lrec2022.lrec-conf.org/en/

Bibliographical note

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

    Research areas

  • Evaluation Methodology, Knowledge Graph, Leaderboard, Question Answering, Replication Crisis
  • Business informatics

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