The descriptions of two systems that participated in the first BioASQ challenge are now available:
NCBI at the 2013 BioASQ challenge task: Learning to rank for automatic MeSH indexing, Yuqing Mao, Zhiyong Lu.
The University of Alberta participation in the BioASQ Challenge:The Wishart System, Yifeng Liu.
New descriptions of systems that participated in the BioASQ challenge are now available online
Copyright © 2024, the BioASQ Challenge
Platinum sponsors of the BioASQ Challenge between 2012 and 2024
- Google was a proud sponsor of the BioASQ Challenge from 2018 to 2023.
- BioASQ was supported by the National Library of Medicine of the National Institutes of Health under award number R13LM012214. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
- The research leading to these results has received funding from the European Commission's Seventh Framework Programme (FP7/2007-2013, ICT-2011.4.4(d), Intelligent Information Management, Targeted Competition Framework) under grant agreement n° 318652.