Results of the seventh edition of the BioASQ Challenge

TL;DR

The seventh BioASQ Challenge showcased ongoing improvements in biomedical semantic indexing and question answering systems, with 30 teams participating and outperforming strong baselines, indicating continuous progress in the field.

Contribution

This paper reports the results of the seventh BioASQ Challenge, highlighting advancements in biomedical semantic indexing and question answering systems through a large-scale competition.

Findings

Best systems outperformed strong baselines

30 teams participated with over 100 systems

Continuous improvement in state-of-the-art biomedical NLP systems

Abstract

The results of the seventh edition of the BioASQ challenge are presented in this paper. The aim of the BioASQ challenge is the promotion of systems and methodologies through the organization of a challenge on the tasks of large-scale biomedical semantic indexing and question answering. In total, 30 teams with more than 100 systems participated in the challenge this year. As in previous years, the best systems were able to outperform the strong baselines. This suggests that state-of-the-art systems are continuously improving, pushing the frontier of research.