公开(公告)号：US20230089285A1

公开(公告)日：2023-03-23

申请号：US17853013

申请日：2022-06-29

申请人： Amazon Technologies, Inc.

发明人： Xing Fan ,  Zheng Chen ,  Yuan Ling ,  Lambert Leo Mathias ,  Chenlei Guo

IPC分类号： G10L15/197 ,  G10L15/22 ,  G10L15/30 ,  G10L15/18

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.

公开(公告)号：US11386890B1

公开(公告)日：2022-07-12

申请号：US16788085

申请日：2020-02-11

申请人： Amazon Technologies, Inc.

发明人： Xing Fan ,  Zheng Chen ,  Yuan Ling ,  Lambert Leo Mathias ,  Chenlei Guo

IPC分类号： G10L15/197 ,  G10L15/22 ,  G10L15/30 ,  G10L15/18

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.