ALTERNATE NATURAL LANGUAGE INPUT GENERATION

    公开(公告)号:US20230110205A1

    公开(公告)日:2023-04-13

    申请号:US17901209

    申请日:2022-09-01

    摘要: Techniques for handling errors during processing of natural language inputs are described. A system may process a natural language input to generate an ASR hypothesis or NLU hypothesis. The system may use more than one data searching technique (e.g., deep neural network searching, convolutional neural network searching, etc.) to generate an alternate ASR hypothesis or NLU hypothesis, depending on the type of hypothesis input for alternate hypothesis processing.

    NATURAL LANGUAGE UNDERSTANDING
    14.
    发明申请

    公开(公告)号:US20230089285A1

    公开(公告)日:2023-03-23

    申请号:US17853013

    申请日:2022-06-29

    摘要: A system is provided for reducing friction during user interactions with a natural language processing system, such as voice assistant systems. The system determines a pre-trained model using dialog session data corresponding to multiple user profiles. The system determines a fine-tuned model using the pre-trained model and a fine-tuning dataset that corresponds to a particular task, such as query rewriting. The system uses the fine-tuned model to process a user input and determine an alternative representation of the input that can result in a desired response from the natural language processing system.

    Natural language understanding
    15.
    发明授权

    公开(公告)号:US11386890B1

    公开(公告)日:2022-07-12

    申请号:US16788085

    申请日:2020-02-11

    摘要: A system is provided for reducing friction during user interactions with a natural language processing system, such as voice assistant systems. The system determines a pre-trained model using dialog session data corresponding to multiple user profiles. The system determines a fine-tuned model using the pre-trained model and a fine-tuning dataset that corresponds to a particular task, such as query rewriting. The system uses the fine-tuned model to process a user input and determine an alternative representation of the input that can result in a desired response from the natural language processing system.