- 专利标题: MACHINE LEARNING MODULE FOR A DIALOG SYSTEM
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申请号: US17034425申请日: 2020-09-28
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公开(公告)号: US20210097979A1公开(公告)日: 2021-04-01
- 发明人: Stephan Joseph Roorda , Miroslav Vodolán , Josef Ondrej , Martin Labsky
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY ARMONK
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY ARMONK
- 优先权: EP19200335.8 20190930
- 主分类号: G10L15/06
- IPC分类号: G10L15/06 ; G06N20/00 ; G10L15/22 ; G06K9/62
摘要:
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.
公开/授权文献
- US11755921B2 Machine learning module for a dialog system 公开/授权日:2023-09-12
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