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BioASQ at CLEF2020: Large-Scale Biomedical Semantic Indexing and Question Answering

Authors
  • Krallinger, Martin1
  • Krithara, Anastasia2
  • Nentidis, Anastasios2, 3
  • Paliouras, Georgios2
  • Villegas, Marta1
  • 1 Barcelona Supercomputing Center,
  • 2 National Center for Scientific Research “Demokritos”,
  • 3 Aristotle University of Thessaloniki,
Type
Published Article
Journal
Advances in Information Retrieval
Publication Date
Mar 24, 2020
Volume
12036
Pages
550–556
Identifiers
DOI: 10.1007/978-3-030-45442-5_71
PMCID: PMC7148078
Source
PubMed Central
Keywords
Disciplines
  • Article
License
Unknown

Abstract

This paper describes the eighth edition of the BioASQ Challenge, which will run as an evaluation Lab in the context of CLEF2020. The aim of BioASQ is the promotion of systems and methods for highly precise biomedical information access. This is done through the organization of a series of challenges (shared tasks) on large-scale biomedical semantic indexing and question answering, where different teams develop systems that compete on the same demanding benchmark datasets that represent the real information needs of biomedical experts. In order to facilitate this information finding process, the BioASQ challenge introduced two complementary tasks: (a) the automated indexing of large volumes of unlabelled data, primarily scientific articles, with biomedical concepts, (b) the processing of biomedical questions and the generation of comprehensible answers. Rewarding the most competitive systems that outperform the state of the art, BioASQ manages to push the research frontier towards ensuring that the biomedical experts will have direct access to valuable knowledge.

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