Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge.
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020.
In this document, we report an analysis of the Public MeSH Note field of the new descriptors introduced in the MeSH thesaurus between 2006 and 2020.
To this end, we propose a framework to categorize new descriptors based on their current relation to older descriptors.
The results of the seventh edition of the BioASQ challenge are presented in this paper.
To this end, we propose a new method that uses weak supervision to train a concept annotator on the literature available for a particular disease.
In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured resources.
This paper presents the results of the sixth edition of the BioASQ challenge.
The goal of the BioASQ challenge is to engage researchers into creating cuttingedge biomedical information systems.