Applied artificial intelligence technology for natural language generation using a graph data structure and configurable chooser code

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United States of America

PATENT NO 12248461
APP PUB NO 20240135110A1
SERIAL NO

17749532

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Abstract

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Natural language generation technology is disclosed that applies artificial intelligence to structured data to determine content for expression in natural language narratives that describe the structured data. A graph data structure is employed, where the graph data structure comprises a plurality of nodes. Each of a plurality of the nodes (1) represents a corresponding intent so that a plurality of different nodes represent different corresponding intents and (2) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor executes chooser code based on a plurality of operating rules and/or parameters that control how the chooser code traverses the graph data structure to determine which of the nodes to use for content to be expressed in the natural language narratives, wherein the operating rules and/or parameters are configurable to change strategies for choosing which nodes are used for the content to be expressed in the natural language narratives.

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Patent Owner(s)

  • SALESFORCE, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Gimby, Brendan Robert Park City, US 9 1
Krapf, Nathan William Chicago, US 19 160
Mujica-Parodi,, III Mauro Eduardo Ignacio Chicago, US 18 220
Nichols, Nathan Drew Chicago, US 30 733

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