ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,647, issued on July 29, was assigned to Digital Asset Capital Inc (Gaithersburg, Md.).
"Semantic map generation from natural-language text documents" was invented by Edward Hunter (Gaithersburg, Md.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques include obtaining, with a computer system, a natural-language-text document comprising unstructured text; generating, with the computer system, based on a first set of machine learning model parameters, a neural representation of the unstructured text; identifying, with the computer system, based on the neural representation, a trigger word located within the unstructured text and associated with ...