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US Patent 10978056 Grammaticality classification for natural language generation in assistant systems

Patent 10978056 was granted and assigned to Facebook on April, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Facebook
Facebook
Current Assignee
Facebook
Facebook
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10978056
Date of Patent
April 13, 2021
Patent Application Number
16264173
Date Filed
January 31, 2019
Patent Citations
‌
US Patent 10762903 Conversational recovery for voice user interface
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US Patent 10042032 System and method for generating recommendations based on similarities between location information of multiple users
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US Patent 10134395 In-call virtual assistants
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US Patent 10199051 Voice trigger for a digital assistant
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US Patent 10241752 Interface for a virtual digital assistant
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US Patent 10276170 Intelligent automated assistant
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US Patent 10482182 Natural language understanding system and dialogue systems
Patent Citations Received
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US Patent 11557310 Voice trigger for a digital assistant
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US Patent 11562010 Method and apparatus for outputting information
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US Patent 11562264 System and method for using machine learning to select one or more submissions from a plurality of submissions
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US Patent 11567788 Generating proactive reminders for assistant systems
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US Patent 11568307 Data augmentation for text-based AI applications
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US Patent 12131522 Contextual auto-completion for assistant systems
0
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US Patent 11468246 Multi-turn dialogue response generation with template generation
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US Patent 11475387 Method and system for determining productivity rate of user in computer-implemented crowd-sourced environment
...
Patent Primary Examiner
Eric Yen
Eric Yen
Patent abstract

In one embodiment, a method includes receiving a user input from a client system associated with a user, generating a plurality of candidate responses by a natural-language generation module in response to the user input, determining a quality-indication by a filtering module for each candidate response of the plurality of candidate responses based on one or more classification models and one or more classification rules, wherein the classification models and classification rules are based on one or more acceptance-criteria, selecting one or more candidate responses from the plurality of candidate responses based on their respective quality-indications, ranking the selected candidate responses based on one or more ranking-criteria, and sending instructions for presenting a top-ranked candidate response to the user to the client system associated with the user responsive to receiving the user input.

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