Τίτλος:
Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020. BioASQ is a series of challenges aiming at the promotion of systems and methodologies for large-scale biomedical semantic indexing and question answering. To this end, shared tasks are organized yearly since 2012, where different teams develop systems that compete on the same demanding benchmark datasets that represent the real information needs of experts in the biomedical domain. This year, the challenge has been extended with the introduction of a new task on medical semantic indexing in Spanish. In total, 34 teams with more than 100 systems participated in the three tasks of the challenge. As in previous years, the results of the evaluation reveal that the top-performing systems managed to outperform the strong baselines, which suggests that state-of-the-art systems keep pushing the frontier of research through continuous improvements. © 2020, Springer Nature Switzerland AG.
Συγγραφείς:
Nentidis, A.
Krithara, A.
Bougiatiotis, K.
Krallinger, M.
Rodriguez-Penagos, C.
Villegas, M.
Paliouras, G.
Περιοδικό:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Εκδότης:
Springer Science and Business Media Deutschland GmbH
Λέξεις-κλειδιά:
Association reactions; Indexing (of information); Natural language processing systems, Benchmark datasets; Biomedical domain; Continuous improvements; Previous year; Question Answering; Semantic indexing; State-of-the-art system, Semantics
DOI:
10.1007/978-3-030-58219-7_16
