US Patent Issued to GOOGLE on Jan. 27 for "Document entity extraction using machine-learned models" (California, Washington, New Jersey, New York, Massachusetts, Texas Inventors)

Posted On: 2026-01-28

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,536,376, issued on Jan. 27, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Document entity extraction using machine-learned models" was invented by Vincent Perot (Brooklyn, N.Y.), Florian Luisier (Boston), Kai Kang (Seattle), Ramya Sree Boppana (Sunnyvale, Calif.), Jiaqi Mu (Sunnyvale, Calif.), Xiaoyu Sun (Sunnyvale, Calif.), Carl Elie Saroufim (San Francisco), Guolong Su (Houston), Hao Zhang (Jersey City, N.J.), Nikolay Alexeevich Glushnev (Woondinville, Wash.), Nan Hua (Palo Alto, Calif.), Yun-Hsuan Sung (San Francisco) and Michael Yiupun Kwong (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for performi...

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US Patent Issued to GOOGLE on Jan. 27 for "Document entity extraction using machine-learned models" (California, Washington, New Jersey, New York, Massachusetts, Texas Inventors)