The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 04, 2024

Filed:

May. 20, 2022
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Mauro Eduardo Ignacio Mujica-Parodi, III, Chicago, IL (US);

Nathan Drew Nichols, Chicago, IL (US);

Nathan William Krapf, Chicago, IL (US);

Brendan Robert Gimby, Park City, UT (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 16/242 (2019.01); G06F 16/901 (2019.01); G06N 5/02 (2023.01);
U.S. Cl.
CPC ...
G06F 40/20 (2020.01); G06F 16/2428 (2019.01); G06F 16/243 (2019.01); G06F 16/9024 (2019.01); G06N 5/02 (2013.01);
Abstract

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 (1) traverses the graph data structure to determine which of the nodes to use for content to be expressed in the natural language narratives and (2) determines which of the nodes to use for providing follow-up information about the natural language narratives based on the links of the graph data structure so that the follow-up information is derived from nodes that are linked to the nodes used for the content to be expressed in the natural language narrative.


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