IP Library Granted Patent US 11,429,783
Granted Patent B2
US 11,429,783 · App. 17/039,172 · Granted Aug 30, 2022

Augmented natural language generation platform

Inventors: Adam Long (Chicago, IL); Nick Haynes (Chicago, IL); Dan Salo (Chicago, IL); Heather Dahm (Chicago, IL); Jacob McCright (Chicago, IL); Michael Dillon (Chicago, IL); Hannah Deters (Chicago, IL); Anup Khadka (Chicago, IL)
Assignee: STATS LLC
G06F40/186G06F40/205
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,429,783
App. No.
17/039,172
Granted
Aug 30, 2022
Kind
B2
Abstract

A computing system receives a request to generate one or more narrative frameworks for a worksheet. The worksheet is hosted by a third party server. The computing system interfaces with the third party server to retrieve data associated with the worksheet. The computing system infers attributes of the worksheet from the retrieved data. The attributes correspond to a type of data represented in the worksheet. The computing system generates a narrative template for the one or more narrative frameworks. The computing system generates one or more data variables for the one or more narrative frameworks based on the generated narrative template. The computing system constructs the one or more narrative frameworks by selectively retrieving data from the worksheet for each data variable of the one or more data variables in the narrative framework.

Claims (56)

1. A method, comprising:

receiving, by a computing system, a request to generate a narrative framework for a worksheet hosted by a third party server, the narrative framework comprising a phrase that comprises data associated with the worksheet;

interfacing, by the computing system, with the third party server to retrieve the data associated with the worksheet;

inferring, by the computing system, attributes of the worksheet from the retrieved data, the attributes corresponding to a type of data represented in the worksheet;

generating, by the computing system, a narrative template for the narrative framework based on the attributes of the worksheet by matching the inferred attributes of the worksheet to a collection of motifs that define data fields for the narrative template;

generating, by the computing system, one or more data variables for the narrative template based on the matched collection of motifs; and

constructing, by the computing system, the narrative framework by selectively retrieving data values from the worksheet and inputting the data values into the one or more data variables of the narrative template to form the phrase of the narrative framework.

2. The method of claim 1 , wherein the request to generate the narrative framework is received from a plugin executing with a data visualization application on a client device.

3. The method of claim 1 , wherein interfacing, by the computing system, with the third party server to retrieve data associated with the worksheet comprises interfacing with the third party server via one or more application programming interfaces (APIs) linking the computing system to the third party server.

4. The method of claim 1 , further comprising:

receiving, by the computing system, a request to modify a value of a data variable of the one or more data variables in the narrative framework; and

updating, by the computing system, the data variable of the one or more data variables based on the request.

5. The method of claim 1 , further comprising:

receiving, by the computing system from the third party server, an update to the worksheet;

identifying, by the computing system, that the update to the worksheet changes a value of a data variable of the one or more data variables in the narrative framework; and

updating, by the computing system, the narrative framework based on the update to the worksheet.

6. The method of claim 1 , wherein inferring, by the computing system, the attributes of the worksheet from the retrieved data comprises:

inferring a data type associated with each column of data in the worksheet.

7. A non-transitory computer readable medium comprising instructions which, when executed by a computing system, cause the computing system to perform operations comprising:

receiving, by the computing system, a request to generate a narrative framework for a worksheet hosted by a third party server, each of the narrative framework comprising a phrase that comprises data associated with the worksheet;

interfacing, by the computing system, with the third party server to retrieve data associated with the worksheet;

inferring, by the computing system, attributes of the worksheet from the retrieved data, the attributes corresponding to a type of data represented in the worksheet;

generating, by the computing system, a narrative template for the narrative framework based on the attributes of the worksheet by matching the inferred attributes of the worksheet to a collection of motifs;

generating, by the computing system, one or more data variables for the narrative template; and

constructing, by the computing system, the narrative framework by selectively retrieving data values from the worksheet and inputting the data values into the one or more data variables of the narrative template to form the phrase of the narrative framework.

8. The non-transitory computer readable medium of claim 7 , wherein the request to generate the narrative framework is received from a plugin executing with a data visualization application on a client device.

9. The non-transitory computer readable medium of claim 7 , wherein interfacing, by the computing system, with the third party server to retrieve data associated with the worksheet comprises interfacing with the third party server via one or more application programming interfaces (APIs) linking the computing system to the third party server.

10. The non-transitory computer readable medium of claim 7 , further comprising:

receiving, by the computing system, a request to modify a value of a data variable of the one or more data variables in the narrative framework; and

updating, by the computing system, the data variable of the one or more data variables based on the request.

11. The non-transitory computer readable medium of claim 7 , further comprising:

receiving, by the computing system from the third party server, an update to the worksheet;

identifying, by the computing system, that the update to the worksheet changes a value of a data variable of the one or more data variables in the narrative framework; and

updating, by the computing system, the narrative framework based on the update to the worksheet.

12. The non-transitory computer readable medium of claim 7 , wherein inferring, by the computing system, the attributes of the worksheet from the retrieved data comprises:

inferring a data type associated with each column of data in the worksheet.

13. A system comprising:

a processor; and

a memory having programming instructions stored thereon, which, when executed by the processor, performs operations comprising:

receiving a request to generate a narrative framework for a worksheet hosted by a third party server, the narrative framework comprising a phrase that comprises data associated with the worksheet;

interfacing with the third party server to retrieve data associated with the worksheet;

inferring attributes of the worksheet from the retrieved data, the attributes corresponding to a type of data represented in the worksheet;

generating a narrative template for the narrative framework based on the attributes of the worksheet by matching the inferred attributes of the worksheet to a collection of motifs;

generating one or more data variables for the generated narrative template; and

constructing the narrative framework by selectively retrieving data values from the worksheet and inputting the data values into the one or more data variables of the narrative template to form the phrase of the narrative framework.

14. The system of claim 13 , wherein the request to generate the narrative framework is received from a plugin executing with a data visualization application on a client device.

15. The system of claim 13 , wherein interfacing with the third party server to retrieve data associated with the worksheet comprises interfacing with the third party server via one or more application programming interfaces (APIs) linking the system to the third party server.

16. The system of claim 13 , wherein the operations further comprise:

receiving a request to modify a value of a data variable of the one or more data variables in the narrative framework; and

updating the data variable of the one or more data variables based on the request.

17. The system of claim 13 , wherein the operations further comprise:

receiving, from the third party server, an update to the worksheet;

identifying that the update to the worksheet changes a value of a data variable of the one or more data variables in the narrative framework; and

updating the narrative framework based on the update to the worksheet.

18. The system of claim 13 , wherein inferring the attributes of the worksheet from the retrieved data comprises:

inferring a data type associated with each column of data in the worksheet.

Assignments (4)
SECURITY INTEREST Recorded Apr 14, 2026
From: STATS LLC
To: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
Reel/Frame 075390/0491 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 19, 2022
From: LONG, ADAM
To: AUTOMATED INSIGHTS, INC.
Reel/Frame 060554/0157 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 19, 2022
From: AUTOMATED INSIGHTS, INC.
To: STATS LLC
Reel/Frame 060554/0166 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 15, 2022
From: HAYNES, NICK; SALO, DAN; DAHM, HEATHER; MCCRIGHT, JACOB; DILLON, MICHAEL; DETERS, HANNAH; KHADKA, ANUP
To: STATS LLC
Reel/Frame 060524/0886 →
Continuity (2)
Provisional Application 62908235 · Sep 30, 2019
Related Publication 20210097232A1 · Apr 1, 2021