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公开(公告)号：US20240232181A9
公开(公告)日：2024-07-11
申请号：US17749518
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III , Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F40/20 , G06F16/901 , G06N5/02
CPC classification number: G06F40/20 , G06F16/9024 , G06N5/022
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 executes chooser code, structurer code, and realizer code to generate the natural language narratives. The chooser code determines content for expression in a natural language narrative based on a traversal of the graph data structure based on defined criteria and a plurality of the links, wherein the traversal operates to choose a plurality of the nodes for evaluation with respect to the structured data to derive content for expression in that natural language narrative.
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2.发明公开公开(公告)号：US20240289562A1
公开(公告)日：2024-08-29
申请号：US18644444
申请日：2024-04-24
Applicant: Salesforce, Inc.
Inventor： Alexander Rudolf Sippel , Bo He , Nathan William Krapf
IPC: G06F40/56 , G06F16/22 , G06F16/242 , G06F16/2457 , G06F16/248 , G06F16/26 , G06F16/28 , G06F16/908 , G06F16/95 , G06F40/20 , G06N7/00
CPC classification number: G06F40/56 , G06F16/221 , G06F16/244 , G06F16/24573 , G06F16/248 , G06F16/26 , G06F16/287 , G06F16/908 , G06F16/95 , G06F40/20 , G06N7/00 , G06F16/24578
Abstract: Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.
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公开(公告)号：US12056117B2
公开(公告)日：2024-08-06
申请号：US17749596
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F16/242
CPC classification number: G06F16/243
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 story graph is employed, where the story graph comprises a plurality of items of content to be expressed in a natural language narrative. A processor executes code corresponding to any of a plurality of structurers that organize the items of content into different story outlines from which the natural language narratives are generated, wherein the different structurers comprise different operating rules and/or parameters that implement different strategies for organizing the items of content into the story outlines.
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公开(公告)号：US20240232182A9
公开(公告)日：2024-07-11
申请号：US17749532
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III , Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
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 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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公开(公告)号：US12001807B2
公开(公告)日：2024-06-04
申请号：US18152280
申请日：2023-01-10
Applicant: Salesforce, Inc.
Inventor： Alexander Rudolf Sippel , Bo He , Nathan William Krapf
IPC: G06F16/00 , G06F16/22 , G06F16/242 , G06F16/2457 , G06F16/248 , G06F16/26 , G06F16/28 , G06F16/908 , G06F16/95 , G06F40/20 , G06F40/56 , G06N7/00
CPC classification number: G06F40/56 , G06F16/221 , G06F16/244 , G06F16/24573 , G06F16/248 , G06F16/26 , G06F16/287 , G06F16/908 , G06F16/95 , G06F40/20 , G06N7/00 , G06F16/24578
Abstract: Disclosed herein are example embodiments of an improved narrative generation system where an analysis service that executes data analysis logic that supports story generation is segregated from an authoring service that executes authoring logic for story generation through an interface. Accordingly, when the authoring service needs analysis from the analysis service, it can invoke the analysis service through the interface. By exposing the analysis service to the authoring service through the shared interface, the details of the logic underlying the analysis service are shielded from the authoring service (and vice versa where the details of the authoring service are shielded from the analysis service). Through parameterization of operating variables, the analysis service can thus be designed as a generalized data analysis service that can operate in a number of different content verticals with respect to a variety of different story types.
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Patent Agency Ranking
公开(公告)号：US12001786B2
公开(公告)日：2024-06-04
申请号：US17749561
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III , Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F40/20 , G06F16/242 , G06F16/901 , G06N5/02
CPC classification number: G06F40/20 , G06F16/2428 , G06F16/243 , G06F16/9024 , G06N5/02
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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公开(公告)号：US12248461B2
公开(公告)日：2025-03-11
申请号：US17749532
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III , Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F16/242 , G06F16/901 , G06F40/20 , G06F40/35 , G06F40/40 , G06N5/02 , G06N5/022 , G06N5/025
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 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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公开(公告)号：US20240232184A9
公开(公告)日：2024-07-11
申请号：US17749578
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F40/20 , G06F16/901 , G06N5/02
CPC classification number: G06F40/20 , G06F16/9024 , G06N5/025
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 story graph is employed, where the story graph comprises a plurality of items of content to be expressed in a natural language narrative. A processor executes structurer code based on a plurality of operating rules and/or parameters that control how the structurer code organizes the items of content into a story outline from which the natural language narrative is generated, wherein the operating rules and/or parameters are configurable to change strategies for organizing the items of content into the story outline.
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公开(公告)号：US20240232180A9
公开(公告)日：2024-07-11
申请号：US17749497
申请日：2022-05-20
Applicant: Salesforce, Inc.
Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III , Nathan Drew Nichols , Nathan William Krapf , Brendan Robert Gimby
IPC: G06F40/20 , G06F16/901 , G06N5/02
CPC classification number: G06F40/20 , G06F16/9024 , G06N5/02
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) dynamically determines a size for a natural language narrative and (2) traverses the graph data structure based on the determined size and a plurality of the links to determine which of the nodes to use for content to be expressed in the natural language narrative having the determined size.
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10.发明公开公开(公告)号：US20240135114A1
公开(公告)日：2024-04-25
申请号：US18161311
申请日：2023-01-30
Applicant: Salesforce, Inc.
Inventor： Nathan William Krapf , Michael Justin Smathers , Nathan Drew Nichols , Matthew Lloyd Trahan
CPC classification number: G06F40/56 , G06F40/30 , H04L67/535 , H04L67/55
Abstract: Systems and methods are disclosed for integrating NLG-based natural language narrative story generation with story sharing. A processor can (1) generate a plurality of natural language narrative stories based on a plurality of semantic source models for the natural language narrative stories, (2) analyze the semantic source models to determine a plurality of users to whom the natural language narrative stories that are generated from the analyzed semantic source models are to be shared, and (3) share the generated natural language narrative stories with their determined users. In this fashion, stories can be posted to user-customized newsfeeds in a manner that can more reliably capture stories that are of interest to the users.
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