Invention Grant
- Patent Title: Processing natural language queries based on machine learning
-
Application No.: US16113390Application Date: 2018-08-27
-
Publication No.: US10552541B1Publication Date: 2020-02-04
- Inventor: Brian S. Dreher , Henry H. Chen , Sheng Hua Bao , William S. Spangler
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Edell, Shapiro & Finnan, LLC
- Agent Ryan Lewis
- Main IPC: G06F17/20
- IPC: G06F17/20 ; G06F17/27 ; G06N20/00

Abstract:
According to an embodiment of the present invention, a natural language query including an ambiguous entity is received from a user. A meaning of the ambiguous entity is determined based on an extracted language context of the natural language query. The determined meaning, extracted language context, and contextual information of the user is applied to a machine learning model to determine a plurality of computer applications from amongst multiple computer applications to process the natural language query. The determined applications are executed to produce results for the natural language query tailored to an interest of the user in accordance with the contextual information.
Public/Granted literature
- US20200065385A1 PROCESSING NATURAL LANGUAGE QUERIES BASED ON MACHINE LEARNING Public/Granted day:2020-02-27
Information query