Invention Grant
- Patent Title: Machine learning module for a dialog system
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Application No.: US17034425Application Date: 2020-09-28
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Publication No.: US11755921B2Publication Date: 2023-09-12
- Inventor: Stephan Joseph Roorda , Miroslav Vodolán , Josef Ondrej , Martin Labsky
- 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
- Agent Anthony M. Pallone
- Priority: EP 200335 2019.09.30
- Main IPC: G06N3/091
- IPC: G06N3/091 ; G06N3/088 ; G06N20/00 ; G10L15/06 ; G10L15/22 ; G06F18/22 ; G06F18/23

Abstract:
The present disclosure relates to a method for a dialog system. The method comprises: receiving a user input at the dialog system. A machine learning module may receive from the dialog system a dialog system response to the user input. In response to determining that the machine learning module is in a deactivated mode, selected one or more training data items of the dialog system response and the user input may be used for training the machine learning module. In response to determining that the machine learning module is in an active mode the trained machine learning module may estimate from the set of output data items and the user input a machine learning module response to the user input. The machine learning module response or the dialog system response may be provided.
Public/Granted literature
- US20210097979A1 MACHINE LEARNING MODULE FOR A DIALOG SYSTEM Public/Granted day:2021-04-01
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