US Patent Issued on July 15 for "Multi-stage machine learning model training for key-value extraction" (Washington Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,361,736, issued on July 15.

"Multi-stage machine learning model training for key-value extraction" was invented by Yazhe Hu (Bellevue, Wash.), Jeaff Wang (Sammamish, Wash.), Mengqing Guo (Redmond, Wash.), Tao Sheng (Bellevue, Wash.) and Jun Qian (Bellevue, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for multi-stage training of a machine learning model to extract key-value pairs from documents are disclosed. A system trains a machine learning model using a set of training data including unlabeled documents of various document categories. The initial stage identifies relationships among tokens, or words, numbers, and punctuation, in do...