ALEXANDRIA, Va., June 16 -- United States Patent no. 12,306,862, issued on May 20, was assigned to S&P Global Inc. (New York).

"Information extraction for unstructured text documents" was invented by Baojia Tong (Cambridge, Mass.), Delphine Vendryes (Venice, Calif.), Nabeel El-Husayni (Boston), Andrey Ryazanov (Boston), Vadym Barda (Boston), Hamima Halim (Boston), Maxim Sokolov (Watertown, Mass.), Jilin Wang (Cambridge, Mass.) and Chester Curme (Braintree, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Training and using a machine learning model for data extraction is provided. The method comprises receiving keys of interest received from a user through an interface and receiving a batch of documents c...