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Found 3 papers, 2 papers with code
Accelerating COVID-19 research with graph mining and transformer-based learning
In 2020, the White House released the, "Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset," wherein artificial intelligence experts are asked to collect data and develop text mining techniques that can help the science community answer high-priority scientific questions related to COVID-19.
AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach
Hypothesis generation systems address this challenge by mining the wealth of publicly available scientific information to predict plausible research directions.
Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking
This method evaluates a HG system by its ability to rank hypotheses by plausibility; a process reminiscent of human candidate selection.
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