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US Patent 9405448 Method and apparatus for annotating a graphical output

Patent 9405448 was granted and assigned to Arria Data2Text Limited on August, 2016 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
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Arria Data2Text Limited
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Current Assignee
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Arria Data2Text Limited
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
94054481
Patent Inventor Names
Ehud Baruch Reiter1
Date of Patent
August 2, 2016
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Patent Application Number
146340351
Date Filed
February 27, 2015
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Patent Citations Received
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US Patent 11983503 Applied artificial intelligence technology for narrative generation based on a conditional outcome framework
2
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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
3
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US Patent 12001807 Applied artificial intelligence technology for narrative generation using an invocable analysis service
4
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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
5
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US Patent 11922344 Automatic generation of narratives from data using communication goals and narrative analytics
6
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US Patent 11921985 Method and system for configuring automatic generation of narratives from data
7
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US Patent 11954445 Applied artificial intelligence technology for narrative generation based on explanation communication goals
8
Patent Primary Examiner
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Kyle Stork
1
Patent abstract

Various methods are provided for generating and annotating a graph. One example method may include determining one or more key patterns in a primary data channel, wherein the primary data channel is derived from raw input data in response to a constraint being satisfied. A method may further include determining one or more significant patterns in one or more related data channels. A method may further include generating a natural language annotation for at least one of the one or more key patterns or the one or more significant patterns. A method may further include generating a graph that is configured to be displayed in a user interface, the graph having at least a portion of the one or more key patterns, the one or more significant patterns and the natural language annotation.

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