BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge
Visualitza/Obre
10.1007/978-3-031-28241-6_66
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/385440
Tipus de documentComunicació de congrés
Data publicació2023
EditorSpringer
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
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ProjecteDESCIFRANDO EL PAPEL DE LAS PROFESIONES EN LA SALUD DE LOS PACIENTES A TRAVES DE LA MINERIA DE TEXTOS (AEI-PID2020-119266RA-I00)
BIOMATDB - Advanced Database for Biomaterials with Data Analysis and Visualisation Tools extended by a Marketplace with Digital Advisors (EC-HE-101058779)
DataTools4Heart - A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy (EC-HE-101057849)
BIOMATDB - Advanced Database for Biomaterials with Data Analysis and Visualisation Tools extended by a Marketplace with Digital Advisors (EC-HE-101058779)
DataTools4Heart - A European Health Data Toolbox for Enhancing Cardiology Data Interoperability, Reusability and Privacy (EC-HE-101057849)
Abstract
The large-scale biomedical semantic indexing and question-answering challenge (BioASQ) aims at the continuous advancement of methods and tools to meet the need of biomedical researchers and practitioners for efficient and precise access to the ever-increasing resources of their domain. With this purpose, during the last ten years a series of annual challenges have been organized with specific shared tasks on large-scale biomedical semantic indexing and question answering. Benchmark datasets have been concomitantly provided in alignment with the real needs of biomedical experts. BioASQ provides a unique common testbed where different teams around the world can investigate and compare new approaches for identifying and accessing biomedical knowledge. The eleventh version of the BioASQ Challenge will be held as an evaluation Lab within CLEF2023. In this version, three shared tasks will be presented: (i) the automated retrieval of relevant material for biomedical questions, and the generation of comprehensible answers. (ii) the synergistic retrieval of relevant material and generation of answers for open biomedical questions about developing topics, in collaboration with the experts posing the questions. (iii) the automated indexing of unlabelled clinical procedures-specific medical documents, primarily clinical case reports written in Spanish, with biomedical concepts and the extraction of human-interpretable evidence. As BioASQ rewards the methods that outperform the state of the art in these shared tasks, it pushes the research frontier towards approaches that accelerate access to biomedical knowledge.
CitacióNentidis, A. [et al.]. BioASQ at CLEF2023: The Eleventh Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. A: European Conference on Information Retrieval. "45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III". Springer, 2023, p. 577-584. ISBN 978-3-031-28241-6. DOI 10.1007/978-3-031-28241-6_66.
Forma partPart of the Lecture Notes in Computer Science book series (LNCS,volume 13982)
ISBN978-3-031-28241-6
Versió de l'editorhttps://link.springer.com/chapter/10.1007/978-3-031-28241-6_66
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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BioASQ11_ShortPaperECIR2023.pdf | 210,1Kb | Visualitza/Obre |