Overview of BioASQ 2026: The fourteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

Abstract:This paper presents an overview of the fourteenth edition of the BioASQ challenge, organized in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2026. BioASQ is an international challenge series that supports progress in biomedical language processing tasks ranging from semantic indexing and information extraction to question answering and summarization. In 2026, BioASQ included six shared tasks: a) Task 14b on biomedical semantic question answering. b) Task Synergy14 on question answering for developing biomedical top- ics. c) Task MultiClinSum-2 on multilingual clinical summarization. d) Task BioNNE-R on extracting relations between nested named entities in Russian and English. e) Task ELCardioCC on clinical coding in cardiology. f) Task GutBrainIE on gut-brain interplay information extrac- tion. Across these six tasks, 87 distinct teams participated, submitting more than 1000 runs overall. As in previous editions, several submissions reached competitive performance, reflecting the continued progress of state-of-the-art methods across biomedical language processing tasks.

Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)

arXiv:2609.39975 [cs.CL]

(or arXiv:2609.39975v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2609.39975 arXiv-issued DOI via DataCite (pending registration)

Nentidis, A. et al. (2027). In: Hagen, M., et al. Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2026. Lecture Notes in Computer Science, vol 17087. Springer, Cham

https://doi.org/10.1007/978-3-032-39150-6_22 DOI(s) linking to related resources