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US Patent 11704900 Predictive injection of conversation fillers for assistant systems

Patent 11704900 was granted and assigned to Meta Platforms, Inc. on July, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Meta Platforms, Inc.
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Current Assignee
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Meta Platforms, Inc.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
117049000
Date of Patent
July 18, 2023
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Patent Application Number
176664390
Date Filed
February 7, 2022
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Patent Citations
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US Patent 7467087 Training and using pronunciation guessers in speech recognition
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US Patent 7624007 System and method for natural language processing of sentence based queries
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US Patent 7702508 System and method for natural language processing of query answers
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US Patent 8019748 Web search refinement
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US Patent 8027451 Electronic call assistants with shared database
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US Patent 8112275 System and method for user-specific speech recognition
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US Patent 8190627 Machine assisted query formulation
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US Patent 8195468 Mobile systems and methods of supporting natural language human-machine interactions
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Patent Citations Received
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US Patent 12136043 Transforming conversational training data for different machine learning models
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Patent Primary Examiner
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Michael N. Opsasnick
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CPC Code
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G10L 15/07
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G10L 15/16
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G10L 15/1815
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G10L 15/1822
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G10L 15/183
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G10L 15/187
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G10L 15/26
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G10L 17/06
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In one embodiment, a method includes, by a client system, receiving, at the client system, a first user input, processing by the client system, the first user input to provide an initial response by identifying one or more entities referenced by the first user input and providing, by the client system, the initial response, where the initial response includes a conversational filler referencing at least one of the one or more identified entities, processing the first user input to provide a complete response by identifying, by the client system, one or more intents and one or more slots associated with the first user input based on a semantic analysis by a natural-language understanding module, and providing, by the client system, the complete response subsequent to the initial response, where the complete response is based on the one or more intents and the one or more slots.

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