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US Patent 9946711 Text generation from correlated alerts

Patent 9946711 was granted and assigned to Arria Data2Text Limited on April, 2018 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
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Arria Data2Text Limited
Current Assignee
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Arria Data2Text Limited
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9946711
Date of Patent
April 17, 2018
Patent Application Number
14914461
Date Filed
August 29, 2013
Patent Citations Received
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US Patent 12086562 Applied artificial intelligence technology for performing natural language generation (NLG) using composable communication goals and ontologies to generate narrative stories
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US Patent 11983503 Applied artificial intelligence technology for narrative generation based on a conditional outcome framework
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US Patent 11989519 Applied artificial intelligence technology for using natural language processing and concept expression templates to train a natural language generation system
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US Patent 12001807 Applied artificial intelligence technology for narrative generation using an invocable analysis service
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US Patent 11688511 Caregiver and staff information system
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US Patent 11783337 Mobile application-based error reporting
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US Patent 11922344 Automatic generation of narratives from data using communication goals and narrative analytics
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US Patent 11921985 Method and system for configuring automatic generation of narratives from data
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...
Patent Primary Examiner
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Jialong He
Patent abstract

Methods, apparatuses, and computer program products are described herein that are configured to generate an operator text in response to an alarm that is either received from an alarm or alert system or that is self-generated based on an analysis of one or more data feeds. The method of an example embodiment may include determining whether an operator text is to be generated in response to a received alert condition by performing data analysis operations comprising: analyzing, using a processor, a primary data feed and at least one confirmatory data feed to identify one or more features; and determining based on the detection of a feature in the primary data feed or the at least one confirmatory data feed satisfies at least one predetermined constraint. The method may further include generating an output text that is displayable in a user interface that describes at least a diagnosis for the feature that satisfied that at least one predetermined constraint.

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