US Patent Issued to Intuit on Oct. 6 for "System and method for generating high quality labeled extraction datasets for training machine learning models" (Texas, California Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,755,208, issued on Oct. 6, was assigned to Intuit Inc. (Mountain View, Calif.).

"System and method for generating high quality labeled extraction datasets for training machine learning models" was invented by Daniel Li (Frisco, Texas), Tharathorn Joy Rimchala (San Francisco), Preeti Duraipandian (Allen, Texas), Sakshi Singla (Newark, Calif.) and Sparsh Gupta (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "A labeled extraction dataset for training machine learning models for information extraction tasks is generated using an ensemble of machine learning models serving as annotators. The plurality of annotators generate a plurality of labels and ...