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Machine Learning
Entity Understanding and Resolution System
Granted patent for a machine learning system that learns the semantics and conventions of a specific domain, such as retail receipts, to accurately resolve messy, OCR’d entity names to a canonical entity, with a human-in-the-loop interface to continuously refine the model.
Alec Stashevsky
,
Melanie Riley
,
Peter Campbell
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