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:
Jan. 25, 2022

Filed:

Sep. 27, 2021
Applicant:

Moore & Gasperecz Global Inc., Vancouver, CA;

Inventors:

Mahdi Ramezani, Vancouver, CA;

Kenneth Smith, Surrey, CA;

Elijah Solomon Krag, Vancouver, CA;

Amir Abbas Tahmasbi, Vancouver, CA;

Margery Moore, Salt Spring Island, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2006.01); G06Q 10/10 (2012.01); G06Q 50/26 (2012.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06Q 10/10 (2013.01); G06Q 50/26 (2013.01);
Abstract

A neural network system for performing a processing task on regulatory content and a method for training the system are disclosed. The method for training involves configuring a neural network language model capable of generating a language embedding output in response to receiving content. The method further involves fine-tuning the language model using regulatory content training data to generate a regulatory content language embedding output for regulatory content processed by the language model. The method also involves configuring at least one task specific output layer to generate task specific results in response to receiving the regulatory content language embedding output from the language model, and training the neural network system using task specific training data to output the task specific results, at least a portion of the task specific training data having been labeled prior to configuring the task specific neural network.


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