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公开(公告)号:US11699441B2
公开(公告)日:2023-07-11
申请号:US17573014
申请日:2022-01-11
Applicant: Amazon Technologies, Inc.
Inventor: Mark Conrad Kockerbeck , Muhammad Yahia , Jordan Michael Hughes , Kevin Boehm , Rohit Sauhta
CPC classification number: G10L15/22 , G10L15/1815 , G10L15/30 , G10L2015/223
Abstract: The present disclosure describes techniques for dynamically determining when information is to be output to a user, as well as what information is to be output to a user. A natural language processing system may receive, from a first device, first data representing information to be output at a first point during a skill session. The natural language processing system may also receive, from a second device, second data representing a natural language input. The natural language processing system may determine a skill component is to execute with respect to the natural language input. The natural language processing system may send, to the skill component, second data representing the natural language input. The natural language processing system may receive, from the skill component, an indication that an ongoing first skill session with the second device has reached the first point. After receiving the indication and based at least in part on system usage data associated with at least one user, the natural language processing system may determine third data representing a prompt corresponding to the information and send, to the second device, the third data for output.
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公开(公告)号:US11227592B1
公开(公告)日:2022-01-18
申请号:US16455530
申请日:2019-06-27
Applicant: Amazon Technologies, Inc.
Inventor: Mark Conrad Kockerbeck , Muhammad Yahia , Jordan Michael Hughes , Kevin Boehm , Rohit Sauhta
Abstract: The present disclosure describes techniques for dynamically determining when information is to be output to a user, as well as what information is to be output to a user. A natural language processing system may receive, from a first device, first data representing information to be output at a first point during a skill session. The natural language processing system may also receive, from a second device, second data representing a natural language input. The natural language processing system may determine a skill component is to execute with respect to the natural language input. The natural language processing system may send, to the skill component, second data representing the natural language input. The natural language processing system may receive, from the skill component, an indication that an ongoing first skill session with the second device has reached the first point. After receiving the indication and based at least in part on system usage data associated with at least one user, the natural language processing system may determine third data representing a prompt corresponding to the information and send, to the second device, the third data for output.
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公开(公告)号:US20220130389A1
公开(公告)日:2022-04-28
申请号:US17573014
申请日:2022-01-11
Applicant: Amazon Technologies, Inc.
Inventor: Mark Conrad Kockerbeck , Muhammad Yahia , Jordan Michael Hughes , Kevin Boehm , Rohit Sauhta
Abstract: The present disclosure describes techniques for dynamically determining when information is to be output to a user, as well as what information is to be output to a user. A natural language processing system may receive, from a first device, first data representing information to be output at a first point during a skill session. The natural language processing system may also receive, from a second device, second data representing a natural language input. The natural language processing system may determine a skill component is to execute with respect to the natural language input. The natural language processing system may send, to the skill component, second data representing the natural language input. The natural language processing system may receive, from the skill component, an indication that an ongoing first skill session with the second device has reached the first point. After receiving the indication and based at least in part on system usage data associated with at least one user, the natural language processing system may determine third data representing a prompt corresponding to the information and send, to the second device, the third data for output.
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