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US Patent 10572606 Applied artificial intelligence technology for runtime computation of story outlines to support natural language generation (NLG)

Patent 10572606 was granted and assigned to Narrative Science on February, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Narrative Science
Narrative Science
Current Assignee
Narrative Science
Narrative Science
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10572606
Patent Inventor Names
Andrew R. Paley0
Maia Jane Lewis Meza0
Matthew Lloyd Trahan0
Nathan Drew Nichols0
Kristian J. Hammond0
Lawrence A. Birnbaum0
Date of Patent
February 25, 2020
Patent Application Number
15897364
Date Filed
February 15, 2018
Patent Citations
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US Patent 10185477 Method and system for configuring automatic generation of narratives from data
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 11521079 Method and apparatus for triggering the automatic generation of narratives
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US Patent 11853345 Automated content generation and delivery
0
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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
0
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US Patent 11954445 Applied artificial intelligence technology for narrative generation based on explanation communication goals
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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 11989659 Method and apparatus for triggering the automatic generation of narratives
0
...
Patent Primary Examiner
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Brian L Albertalli
Patent abstract

Artificial intelligence (AI) technology can be used in combination with composable communication goal statements and an ontology to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal. The determined content can be arranged in a computed story outline that is created at runtime, and NLG can be performed on the computed story outline to generate the narrative story.

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