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Found 13 papers, 4 papers with code
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This is an overview of the eleventh edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2023.
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Conclusion: The results suggest that concept occurrence is a strong heuristic for refining the coarse-grained labels at the level of MeSH concepts and the proposed method improves it further.
Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
This paper presents an overview of the tenth edition of the BioASQ challenge in the context of the Conference and Labs of the Evaluation Forum (CLEF) 2022.
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
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.
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge.
Harvesting the Public MeSH Note field
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.
What is all this new MeSH about? Exploring the semantic provenance of new descriptors in the MeSH thesaurus
To this end, we propose a framework to categorize new descriptors based on their current relation to older descriptors.
Results of the seventh edition of the BioASQ Challenge
The results of the seventh edition of the BioASQ challenge are presented in this paper.
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak Supervision
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.
iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge
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.
Results of the sixth edition of the BioASQ Challenge
This paper presents the results of the sixth edition of the BioASQ challenge.
Results of the fifth edition of the BioASQ Challenge
The goal of the BioASQ challenge is to engage researchers into creating cuttingedge biomedical information systems.
