Patent · US Active

Natural language processing techniques using hybrid reason code prediction machine learning frameworks

US12190062B2 · kind B2 · utility

1Cited by

5References

20Claims

0Family size

Assignee

Optum, Inc. · US

Inventors

Suman Roy · Guwahati, IN
Thomas G. Sullivan · Okabena, US
Vijay Varma Malladi · Hyderabad, IN
Matthew J. Stewart · Pittsburgh, US
Abraham Gebru Tesfay · Eden Prairie, US
Gaurav Ranjan · Bengaluru, IN

Key dates

Filing date	Apr 28, 2022
Grant date	Jan 7, 2025
Priority date	—
Expiry date	Jan 2, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/048
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a hybrid reason code prediction machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform natural language processing using a hybrid reason code prediction machine learning framework that comprises one or more of the following: (i) a hierarchical transformer machine learning model, (ii) an utterance prediction machine learning model, (iii) an attention distribution generation machine learning model, (iv) an utterance-code pair prediction machine learning model, and (v) a hybrid prediction machine learning model.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.