US Patent Issued to Oracle International on Sept. 30 for "Calibrating confidence scores of a machine learning model trained as a natural language interface" (Australian, American Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,330, issued on Sept. 30, was assigned to Oracle International Corp. (Redwood Shores, Calif.).

"Calibrating confidence scores of a machine learning model trained as a natural language interface" was invented by Gioacchino Tangari (Sydney), Cong Duy Vu Hoang (Wantirna South, Australia), Mark Edward Johnson (Sydney), Poorya Zaremoodi (Melbourne, Australia), Nitika Mathur (Melbourne, Australia), Aashna Devang Kanuga (Foster City, Calif.) and Thanh Long Duong (Seabrook, Australia).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques are disclosed herein for calibrating confidence scores of a machine learning model trained to translate natural langua...