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US Patent 10296160 Method for extracting salient dialog usage from live data

Patent 10296160 was granted and assigned to Apple (company) on May, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Apple (company)
Apple (company)
Current Assignee
Apple (company)
Apple (company)
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10296160
Date of Patent
May 21, 2019
Patent Application Number
14099776
Date Filed
December 6, 2013
Patent Citations Received
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US Patent 11496600 Remote execution of machine-learned models
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US Patent 11516537 Intelligent automated assistant for TV user interactions
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US Patent 12073147 Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
0
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US Patent 11468282 Virtual assistant in a communication session
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US Patent 11475898 Low-latency multi-speaker speech recognition
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US Patent 11475884 Reducing digital assistant latency when a language is incorrectly determined
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US Patent 11488406 Text detection using global geometry estimators
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US Patent 11487364 Raise to speak
...
Patent Primary Examiner
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Scott A. Waldron
Patent abstract

Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.

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