#ml #snorkel
Snorkel is currently focused on accelerating the development of structured or “dark” data extraction applications for domains in which large labeled training sets are not available or easy to obtain. For example, Snorkel is being currently used on text extraction applications on medical records at the Deparment of Veterans Affairs, to mine scientific literature for adverse drug reactions in collaboration with the Federal Drug Administration, and to comb through everything from surgical reports to after-action combat reports for valuable structured data.
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Ratner_et_al-2017-dawn,cs,stanford,edu-Snorkel_and_The_Dawnions, it allows us to scale with the amount of unlabeled data! Snorkel Snorkel is a system built around the data programming paradigm for rapidly creating, modeling, and managing training data. <span>Snorkel is currently focused on accelerating the development of structured or “dark” data extraction applications for domains in which large labeled training sets are not available or easy to obtain. For example, Snorkel is being currently used on text extraction applications on medical records at the Deparment of Veterans Affairs, to mine scientific literature for adverse drug reactions in collaboration with the Federal Drug Administration, and to comb through everything from surgical reports to after-action combat reports for valuable structured data. …And Beyond We’ve been working hard on next steps for data programming, Snorkel, and other weak supervision techniques, some of which we’ve already posted about: Structure learning : Ho Summary
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