Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

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Autores principales: Nentidis, Anastasios, Katsimpras, Georgios, Krithara, Anastasia, Krallinger, Martin, Rodríguez-Ortega, Miguel, Rodriguez-López, Eduard, Loukachevitch, Natalia, Sakhovskiy, Andrey, Tutubalina, Elena, Dimitriadis, Dimitris, Tsoumakas, Grigorios, Giannakoulas, George, Bekiaridou, Alexandra, Samaras, Athanasios, Di Nunzio, Giorgio Maria, Ferro, Nicola, Marchesin, Stefano, Martinelli, Marco, Silvello, Gianmaria, Paliouras, Georgios
Formato: Preprint
Publicado: 2025
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author Nentidis, Anastasios
Katsimpras, Georgios
Krithara, Anastasia
Krallinger, Martin
Rodríguez-Ortega, Miguel
Rodriguez-López, Eduard
Loukachevitch, Natalia
Sakhovskiy, Andrey
Tutubalina, Elena
Dimitriadis, Dimitris
Tsoumakas, Grigorios
Giannakoulas, George
Bekiaridou, Alexandra
Samaras, Athanasios
Di Nunzio, Giorgio Maria
Ferro, Nicola
Marchesin, Stefano
Martinelli, Marco
Silvello, Gianmaria
Paliouras, Georgios
author_facet Nentidis, Anastasios
Katsimpras, Georgios
Krithara, Anastasia
Krallinger, Martin
Rodríguez-Ortega, Miguel
Rodriguez-López, Eduard
Loukachevitch, Natalia
Sakhovskiy, Andrey
Tutubalina, Elena
Dimitriadis, Dimitris
Tsoumakas, Grigorios
Giannakoulas, George
Bekiaridou, Alexandra
Samaras, Athanasios
Di Nunzio, Giorgio Maria
Ferro, Nicola
Marchesin, Stefano
Martinelli, Marco
Silvello, Gianmaria
Paliouras, Georgios
contents This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025. BioASQ is a series of international challenges promoting advances in large-scale biomedical semantic indexing and question answering. This year, BioASQ consisted of new editions of the two established tasks, b and Synergy, and four new tasks: a) Task MultiClinSum on multilingual clinical summarization. b) Task BioNNE-L on nested named entity linking in Russian and English. c) Task ELCardioCC on clinical coding in cardiology. d) Task GutBrainIE on gut-brain interplay information extraction. In this edition of BioASQ, 83 competing teams participated with more than 1000 distinct submissions in total for the six different shared tasks of the challenge. Similar to previous editions, several participating systems achieved competitive performance, indicating the continuous advancement of the state-of-the-art in the field.
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publishDate 2025
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spellingShingle Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Nentidis, Anastasios
Katsimpras, Georgios
Krithara, Anastasia
Krallinger, Martin
Rodríguez-Ortega, Miguel
Rodriguez-López, Eduard
Loukachevitch, Natalia
Sakhovskiy, Andrey
Tutubalina, Elena
Dimitriadis, Dimitris
Tsoumakas, Grigorios
Giannakoulas, George
Bekiaridou, Alexandra
Samaras, Athanasios
Di Nunzio, Giorgio Maria
Ferro, Nicola
Marchesin, Stefano
Martinelli, Marco
Silvello, Gianmaria
Paliouras, Georgios
Computation and Language
Artificial Intelligence
Information Retrieval
This is an overview of the thirteenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2025. BioASQ is a series of international challenges promoting advances in large-scale biomedical semantic indexing and question answering. This year, BioASQ consisted of new editions of the two established tasks, b and Synergy, and four new tasks: a) Task MultiClinSum on multilingual clinical summarization. b) Task BioNNE-L on nested named entity linking in Russian and English. c) Task ELCardioCC on clinical coding in cardiology. d) Task GutBrainIE on gut-brain interplay information extraction. In this edition of BioASQ, 83 competing teams participated with more than 1000 distinct submissions in total for the six different shared tasks of the challenge. Similar to previous editions, several participating systems achieved competitive performance, indicating the continuous advancement of the state-of-the-art in the field.
title Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
topic Computation and Language
Artificial Intelligence
Information Retrieval
url https://arxiv.org/abs/2508.20554