公开(公告)号：US12254867B2

公开(公告)日：2025-03-18

申请号：US17856090

申请日：2022-07-01

Applicant: Amazon Technologies, Inc.

Inventor： Chenlei Guo ,  Xing Fan ,  Chengyuan Ma ,  Shuting Tang ,  Kai Wei

IPC: G10L15/06 ,  G06N3/08 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22

Abstract: A system is provided for a self-learning policy engine that can be used by various spoken language understanding (SLU) processing components. The system also provides for sharing contextual information from processing performed by an upstream SLU component to a downstream SLU component to facilitate decision making by the downstream SLU component. The system also provides for a SLU component to select from a variety of actions to take. A SLU component may implement an instance of the self-learning policy that is specifically configured for the particular SLU component.

公开(公告)号：US11544504B1

公开(公告)日：2023-01-03

申请号：US17022883

申请日：2020-09-16

Applicant: Amazon Technologies, Inc.

Inventor： Xing Fan ,  Hung Tuan Pham ,  Chenlei Guo ,  Xiaohu Liu ,  Shuting Tang

IPC: G06K9/62 ,  G06F16/9032 ,  G06F40/35

Abstract: Techniques for determining an intent of a subsequent user input in a dialog are described. The system processes historic interaction data that is structured based on natural language understanding (NLU) hypotheses, with each NLU hypothesis being associated with one or more past user inputs received by the system, one or more sample inputs, and one or more past system responses. Based on processing of the historic interaction data and dialog data of previous turns of the dialog, the system determines candidate intents for the subsequent turn of the dialog. The system also uses context data to determine the candidate intents.

公开(公告)号：US20230119954A1

公开(公告)日：2023-04-20

申请号：US17974677

申请日：2022-10-27

Applicant: Amazon Technologies, Inc.

Inventor： Isaac Joseph Madwed ,  Julia Kennedy Nemer ,  Joo-Kyung Kim ,  Nikko Strom ,  Steven Mack Saunders ,  Laura Maggia Panfili ,  Anna Caitlin Jentoft ,  Sungjin Lee ,  David Thomas ,  Young-Bum Kim ,  Pablo Cesar Ganga ,  Chenlei Guo ,  Shuting Tang ,  Zhenyu Yao

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/26

Abstract: Described herein is a system for responding to a frustrated user with a response determined based on spoken language understanding (SLU) processing of a user input. The system detects user frustration and responds to a repeated user input by confirming an action to be performed or presenting an alternative action, instead of performing the action responsive to the user input. The system also detects poor audio quality of the captured user input, and responds by requesting the user to repeat the user input. The system processes sentiment data and signal quality data to respond to user inputs.

公开(公告)号：US20210375272A1

公开(公告)日：2021-12-02

申请号：US16889420

申请日：2020-06-01

Applicant: Amazon Technologies, Inc.

Inventor： Isaac Joseph Madwed ,  Julia Kennedy Nemer ,  Joo-Kyung Kim ,  Nikko Strom ,  Steven Mack Saunders ,  Laura Maggia Panfili ,  Anna Caitlin Jentoft ,  Sungjin Lee ,  David Thomas ,  Young-Bum Kim ,  Pablo Cesar Ganga ,  Chenlei Guo ,  Shuting Tang ,  Zhenyu Yao

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/26

Abstract: Described herein is a system for responding to a frustrated user with a response determined based on spoken language understanding (SLU) processing of a user input. The system detects user frustration and responds to a repeated user input by confirming an action to be performed or presenting an alternative action, instead of performing the action responsive to the user input. The system also detects poor audio quality of the captured user input, and responds by requesting the user to repeat the user input. The system processes sentiment data and signal quality data to respond to user inputs.

公开(公告)号：US20230047811A1

公开(公告)日：2023-02-16

申请号：US17856090

申请日：2022-07-01

Applicant: Amazon Technologies, Inc.

Inventor： Chenlei Guo ,  Xing Fan ,  Chengyuan Ma ,  Shuting Tang ,  Kai Wei

IPC: G10L15/06 ,  G10L15/18 ,  G10L15/22 ,  G06N3/08 ,  G10L15/16

Abstract: A system is provided for a self-learning policy engine that can be used by various spoken language understanding (SLU) processing components. The system also provides for sharing contextual information from processing performed by an upstream SLU component to a downstream SLU component to facilitate decision making by the downstream SLU component. The system also provides for a SLU component to select from a variety of actions to take. A SLU component may implement an instance of the self-learning policy that is specifically configured for the particular SLU component.

公开(公告)号：US11508361B2

公开(公告)日：2022-11-22

申请号：US16889420

申请日：2020-06-01

Applicant: Amazon Technologies, Inc.

Inventor： Isaac Joseph Madwed ,  Julia Kennedy Nemer ,  Joo-Kyung Kim ,  Nikko Strom ,  Steven Mack Saunders ,  Laura Maggia Panfili ,  Anna Caitlin Jentoft ,  Sungjin Lee ,  David Thomas ,  Young-Bum Kim ,  Pablo Cesar Ganga ,  Chenlei Guo ,  Shuting Tang ,  Zhenyu Yao

IPC: G10L15/18 ,  G10L15/22 ,  G10L15/26

Abstract: Described herein is a system for responding to a frustrated user with a response determined based on spoken language understanding (SLU) processing of a user input. The system detects user frustration and responds to a repeated user input by confirming an action to be performed or presenting an alternative action, instead of performing the action responsive to the user input. The system also detects poor audio quality of the captured user input, and responds by requesting the user to repeat the user input. The system processes sentiment data and signal quality data to respond to user inputs.