[Apologies for cross-posting]
Updated Call for Participation
Previous iterations of BioCreative have provided invaluable resources for advancing state-of-the-art text mining methods (e.g. BioBERT), including reference datasets and system evaluations in both shared and interactive modes.
The sudden spread of COVID-19 has challenged the biomedical community to identify potential drug treatments quickly. Thus, BioCreative VII presents three tracks focusing on the detection of chemicals, drugs, and related substances.
The COVID-19 pandemic also triggered the development of text mining tools to support ongoing research efforts and address the wave of COVID-19 publications. Accordingly, BioCreative VII also presents an interactive track to provide developers of COVID-19 text mining tools with feedback from potential users in the research community and announces a new track addressing multi-label topic classification to support the curation of COVID-19 literature.
(NEW INFO) Track 4 - COVID-19 text mining tool interactive demo
(NEW TRACK) Track 5 - LitCovid track Multi-label topic classification for COVID-19 literature annotation
The workshop will take place sometime during the first two weeks for November 2021. See individual tracks for their timelines and http://www.biocreative.org/ for full information and registration.