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:
Oct. 24, 2023

Filed:

Jan. 19, 2021
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Vivek Kumar Khetan, San Francisco, CA (US);

Mayuresh Anand, Santa Barbara, CA (US);

Roshni Ramesh Ramnani, Karnataka, IN;

Shubhashis Sengupta, Karnataka, IN;

Andrew E. Fano, Lincolnshire, IL (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06N 3/04 (2023.01); G16H 70/40 (2018.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/284 (2020.01); G06N 3/04 (2013.01); G16H 70/40 (2018.01);
Abstract

A device may receive training data that includes datasets associated with natural language processing, and may mask the training data to generate masked training data. The device may train a masked event C-BERT model, with the masked training data, to generate pretrained weights and a trained masked event C-BERT model, and may train an event aware C-BERT model, with the training data and the pretrained weights, to generate a trained event aware C-BERT model. The device may receive natural language text data identifying natural language events, and may process the natural language text data, with the trained masked event C-BERT model, to determine weights. The device may process the natural language text data and the weights, with the trained event aware C-BERT model, to predict causality relationships between the natural language events, and may perform actions, based on the causality relationships.


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