Google AI Blog: Harnessing Organizational Knowledge for Machine Learning (2019)
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 [paper](/doc/2019/06/_1812_00417_snorkel_drybell_a)
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