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US Patent 10460215 Natural language interaction for smart assistant

Patent 10460215 was granted and assigned to Microsoft on October, 2019 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Microsoft
Microsoft
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104602150
Patent Inventor Names
Keith Coleman Herold0
Oz Solomon0
Date of Patent
October 29, 2019
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Patent Application Number
156569940
Date Filed
July 21, 2017
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Patent Citations
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US Patent 10178301 User identification based on voice and face
Patent Citations Received
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US Patent 12062361 Wake word method to prolong the conversational state between human and a machine in edge devices
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US Patent 11514911 Reduced training for dialog systems using a database
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US Patent 11520995 Systems and methods for dynamically expanding natural language processing agent capacity
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US Patent 11915692 Facilitating end-to-end communications with automated assistants in multiple languages
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US Patent 11934787 Intent determination in a messaging dialog manager system
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US Patent 11942082 Facilitating communications with automated assistants in multiple languages
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US Patent 12008985 Natural language processing of declarative statements
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US Patent 11475876 Semantic recognition method and semantic recognition device
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Patent Primary Examiner
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Daniel Abebe
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Patent abstract

A method for natural language interaction includes recording speech provided by a human user. The recorded speech is translated into a machine-readable natural language input relating to an interaction topic. An interaction timer is maintained that tracks a length of time since a last machine-readable natural language input referring to the interaction topic was translated. Based on a current value of the interaction timer being greater than an interaction engagement threshold, a message relating to the interaction topic is delivered with a first natural language phrasing that includes an interaction topic reminder. Based on the current value of the interaction timer being less than the interaction engagement threshold, the message relating to the interaction topic is delivered with a second natural language phrasing that lacks the interaction topic reminder.

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