Google AI Blog: Harnessing Organizational Knowledge for Machine Learning (2019)(About) how existing knowledge in an organization can be used as noisier, higher-level supervision—or, as it is often termed, weak supervision—to quickly label large training datasets
Snorkel Drybell, experimental internal system, which adapts the opensource
Snorkel framework to **use diverse organizational knowledge
resources—like internal models, ontologies, legacy rules, knowledge
graphs and more—in order to generate training data** for machine learning
models at web scale.
Enables writing **labeling functions** that label training data programmatically