公开(公告)号：US20240143914A1

公开(公告)日：2024-05-02

申请号：US17749561

申请日：2022-05-20

Applicant: Narrative Science LLC

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.

公开(公告)号：US20240135095A1

公开(公告)日：2024-04-25

申请号：US17749578

申请日：2022-05-19

Applicant: Narrative Science LLC

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.

公开(公告)号：US20240135094A1

公开(公告)日：2024-04-25

申请号：US17749518

申请日：2022-05-19

Applicant: Narrative Science LLC

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.

公开(公告)号：US20240135092A1

公开(公告)日：2024-04-25

申请号：US17749472

申请日：2022-05-19

Applicant: Narrative Science LLC

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. The nodes (1) represent corresponding intents so that different nodes represent different corresponding intents, (2) are associated with corresponding analytics for execution to evaluate a given node's corresponding intent and generate a result that represents an evaluation of that node's corresponding intent, and (3) are associated with one or more links with one or more of the nodes to define relationships among the intents. A processor traverses the graph data structure based on defined criteria and a plurality of the links to (1) choose which nodes are to be evaluated and (2) determine content for expression in the narratives based on execution of the chosen nodes' corresponding analytics against the structured data.

公开(公告)号：US11922344B2

公开(公告)日：2024-03-05

申请号：US17982662

申请日：2022-11-08

Applicant: Narrative Science LLC

Inventor： Lawrence Birnbaum ,  Kristian J. Hammond ,  Nathan Drew Nichols ,  Andrew R. Paley

IPC: G10L15/22 ,  G06F16/95 ,  G06F40/20 ,  G06Q10/063 ,  G06Q10/0639 ,  G06Q30/0201 ,  G06F16/20 ,  G06F40/253 ,  G06N20/00

CPC classification number: G06Q10/063 ,  G06F16/95 ,  G06F40/20 ,  G06Q10/0639 ,  G06Q10/06398 ,  G06Q30/0201 ,  G06F16/20 ,  G06F40/253 ,  G06N20/00

Abstract: The exemplary embodiments described herein are related to techniques for automatically generating narratives about data based on communication goal data structures that are associated with configurable content blocks. The use of such communication goal data structures facilitates modes of operation whereby narratives can be generated in real-time and/or interactive manners.

公开(公告)号：US20240232183A9

公开(公告)日：2024-07-11

申请号：US17749546

申请日：2022-05-20

Applicant: Narrative Science LLC

Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III ,  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 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 code corresponding to any of a plurality of different choosers that traverse the graph data structure to determine which of the nodes to use for content to be expressed in the natural language narratives, wherein the different choosers comprise different operating rules and/or parameters that implement different strategies for choosing which nodes are used for the content to be expressed in the natural language narratives.

公开(公告)号：US20240143582A1

公开(公告)日：2024-05-02

申请号：US17749596

申请日：2022-05-20

Applicant: Narrative Science LLC

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.

公开(公告)号：US20240135093A1

公开(公告)日：2024-04-25

申请号：US17749497

申请日：2022-05-19

Applicant: Narrative Science LLC

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.

公开(公告)号：US20240134848A1

公开(公告)日：2024-04-25

申请号：US17749546

申请日：2022-05-19

Applicant: Narrative Science LLC

Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III ,  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 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 code corresponding to any of a plurality of different choosers that traverse the graph data structure to determine which of the nodes to use for content to be expressed in the natural language narratives, wherein the different choosers comprise different operating rules and/or parameters that implement different strategies for choosing which nodes are used for the content to be expressed in the natural language narratives.

公开(公告)号：US20240134847A1

公开(公告)日：2024-04-25

申请号：US17749484

申请日：2022-05-19

Applicant: Narrative Science LLC

Inventor： Mauro Eduardo Ignacio Mujica-Parodi, III ,  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 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 different nodes represent different corresponding intents, (2) is associated with a result that represents an evaluation of the node's corresponding intent with respect to the structured data, and (3) is associated with one or more links to one or more of the nodes to define relationships among the intents. A processor traverses the graph data structure based on defined criteria and a plurality of the links to choose which of the results are to be expressed in the natural language narratives.