ALEXANDRIA, Va., March 24 -- United States Patent no. 12,585,977, issued on March 24, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Building a complementary model for aggregating topics from textual content" was invented by Zhi Lin Hu (Ningbo, China), Wan Wan Miao (Ningbo, China), Shu Xia Cao (Beijing), Tao Liu (Dublin, Ohio) and Hao Zhang (Shanghai).
According to the abstract* released by the U.S. Patent & Trademark Office: "Aspects of the present disclosure describe techniques for generating a machine learning model for extracting information from textual content. The method generally includes receiving a training data set including a plurality of documents having related textual strings. A relevancy model is ge...