ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,569, issued on April 14, was assigned to Adobe Inc. (San Jose, Calif.).

"Extracting entity relationships from digital documents utilizing multi-view neural networks" was invented by Amir Pouran Ben Veyseh (Eugene, Ore.), Franck Dernoncourt (Sunnyvale, Calif.), Quan Tran (San Jose, Calif.) and Lidan Wang (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize a plurality of neural networks to determine structural and semantic information via different views of a word sequence and then utilize this information to extract a relationship...