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    Dialog response generation
    4.
    发明授权
    Dialog response generation 有权

    公开(公告)号：US11194973B1

    公开(公告)日：2021-12-07

    申请号：US16363363

    申请日：2019-03-25

    Applicant: Amazon Technologies, Inc.

    Inventor： Rahul Goel ,  Chandra Prakash Khatri ,  Tagyoung Chung ,  Raefer Christopher Gabriel ,  Anushree Venkatesh ,  Behnam Hedayatnia ,  Sanghyun Yi

    IPC: G06F40/35 ,  G10L15/26 ,  G06F40/289 ,  H04L12/58 ,  G06N20/00

    Abstract: A system that can engage in a dialog with a user may select a system response to a user input based on how the system estimates a user may respond to a potential system response. Models may be trained to evaluate a potential system response in view of various available data including dialog history, entity data, etc. Each model may score the potential system response for various qualitative aspects such as whether the response is likely to be comprehensible, on-topic, interesting, likely to lead to the dialog continuing, etc. Such scores may be combined to other scores such as whether the potential response is coherent or engaging. The models may be trained using previous dialog/chatbot evaluation data. At runtime the scores may be used to select a system response to a user input as part of the dialog.

    Dialog management system
    6.
    发明授权
    Dialog management system 有权

    公开(公告)号：US11804225B1

    公开(公告)日：2023-10-31

    申请号：US17375458

    申请日：2021-07-14

    Applicant: Amazon Technologies, Inc.

    Inventor： Ashish Kumar Agrawal ,  Kemal Oral Cansizlar ,  Suranjit Adhikari ,  Shucheng Zhu ,  Raefer Christopher Gabriel ,  Arindam Mandal

    IPC: G10L15/22 ,  G10L15/18 ,  G10L15/30

    CPC classification number: G10L15/22 ,  G10L15/1815 ,  G10L15/30 ,  G10L2015/223

    Abstract: Techniques for conversation recovery in a dialog management system are described. A system may determine, using dialog models, that a predicted action to be performed by a skill component is likely to result in an undesired response or that the skill component is unable to respond to a user input of a dialog session. Rather than informing the user that the skill component is unable to respond, the system may send data to the skill component to enable the skill component to determine a correct action responsive to the user input. The data may include an indication of the predicted action and/or entity data corresponding to the user input. The system may receive, from the skill component, response data corresponding to the user input, and may use the response data to update a dialog context for the dialog session and an inference engine of the dialog management system.

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