发表机构
National Center for Scientific Research “Demokritos”; Barcelona Supercomputing Center; Lomonosov Moscow State University; Artificial Intelligence Research Institute; HSE University; Aristotle University of Thessaloniki（德谟克利特国家科学研究中心; 巴塞罗那超级计算中心; 罗蒙诺索夫莫斯科国立大学; 人工智能研究院; 高等经济大学; 塞萨洛尼基亚里士多德大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文概述了第十四届 BioASQ 挑战赛（2026 年），涵盖六个共享任务，87 个团队提交了超过 1000 次运行，展示了生物医学语言处理任务中最新方法的持续进展。
AI 中文摘要
本文介绍了第十四届 BioASQ 挑战赛的概览，该挑战赛在 2026 年评估论坛会议与实验室（CLEF）的背景下组织。BioASQ 是一个国际挑战赛系列，支持生物医学语言处理任务的进展，涵盖从语义索引和信息提取到问答和摘要等任务。2026 年，BioASQ 包含六个共享任务：a) 任务 14b：生物医学语义问答；b) 任务 Synergy14：面向开发生物医学主题的问答；c) 任务 MultiClinSum-2：多语言临床摘要；d) 任务 BioNNE-R：提取俄语和英语中嵌套命名实体之间的关系；e) 任务 ELCardioCC：心脏病学中的临床编码；f) 任务 GutBrainIE：肠脑相互作用信息提取。在这六个任务中，共有 87 个不同的团队参与，总共提交了超过 1000 次运行结果。与往届一样，多个提交达到了具有竞争力的性能，反映了最先进方法在生物医学语言处理任务中的持续进步。
英文摘要
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.
Comments21 pages, 17 tables, International Conference of the Cross-Language Evaluation Forum for European Languages 2026 (CLEF2026)
Journal refNentidis, 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
DOI：10.1007/978-3-032-39150-6_22
