# Overview of BioASQ 2024: The twelfth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

**Authors:** Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Salvador Lima-L\'opez, Eul\`alia Farr\'e-Maduell, Martin Krallinger, Natalia Loukachevitch, Vera Davydova, Elena Tutubalina, Georgios Paliouras

arXiv: 2508.20532 · 2025-08-29

## TL;DR

The BioASQ 2024 challenge overview highlights ongoing progress in biomedical semantic indexing and question answering, introducing new tasks and maintaining competitive system performances across the community.

## Contribution

This paper presents the latest edition of BioASQ, including new tasks like MultiCardioNER and BIONNE, and reports on the participation and performance of systems in biomedical NLP challenges.

## Key findings

- High participation with 37 teams and 700 submissions
- Most systems achieved competitive performance
- Introduction of new tasks in clinical and nested NER

## Abstract

This is an overview of the twelfth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2024. 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 two new tasks: a) MultiCardioNER on the adaptation of clinical entity detection to the cardiology domain in a multilingual setting, and b) BIONNE on nested NER in Russian and English. In this edition of BioASQ, 37 competing teams participated with more than 700 distinct submissions in total for the four different shared tasks of the challenge. Similarly to previous editions, most of the participating systems achieved competitive performance, suggesting the continuous advancement of the state-of-the-art in the field.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/2508.20532/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/2508.20532/full.md

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Source: https://tomesphere.com/paper/2508.20532