18515995. MACHINE LEARNING TECHNIQUES FOR CLASSIFYING DOCUMENT DATA OBJECTS (Optum, Inc.)
MACHINE LEARNING TECHNIQUES FOR CLASSIFYING DOCUMENT DATA OBJECTS
Organization Name
Inventor(s)
Zhichao Yang of Amherst MA (US)
Joel David Stremmel of Iowa City IA (US)
Sanjit Singh Batra of Redwood City CA (US)
Eran Halperin of Santa Monica CA (US)
MACHINE LEARNING TECHNIQUES FOR CLASSIFYING DOCUMENT DATA OBJECTS
This abstract first appeared for US patent application 18515995 titled 'MACHINE LEARNING TECHNIQUES FOR CLASSIFYING DOCUMENT DATA OBJECTS
Original Abstract Submitted
Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for identifying one or more evidence text portions comprising one or more bases relied on by a generative machine learning model for assigning a plurality of model-assigned categorical identifiers to a plurality of text segment data objects associated with a document data object, and verifying the one or more evidence text portions with a verifier machine learning model to generate one or more classifications of the document data object and provide the one or more verified evidence text portions along with the one or more classifications.