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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.

Patent No.:

US 12033376 B1

PDFFull Text
Date of Patent:
Jul. 09, 2024

Filed:

Dec. 16, 2021

Method and system for training neural network for entity detection

Applicant:

Quantiphi Inc., Marlborough, MA (US);

Inventors:

Reghu Hariharan, Marlborough, MA (US);

Jeevan Prakash, Mumbai, IN;

Harsh Kothari, Mumbai, IN;

Kavitha S, Mumbai, IN;

Rajat Jaiswal, Mumbai, IN;

Assignee:
Attorney:

RC Trademark Company

Primary Examiner:

Ping Y Hsieh

Assistant Examiner:

Xiao Liu

Int. Cl.
CPC ...
G06V 10/00 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 30/10 (2022.01); G06V 30/18 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/764 (2022.01); G06V 10/7747 (2022.01); G06V 30/10 (2022.01); G06V 30/18143 (2022.01);
Abstract

A system and method for training a neural network is implemented for detecting at least one entity in a document to derive relevant inferences therefrom. The method describes obtaining at least one document. The at least one document is processed, via a detection module, to detect a widget entity. The detected widget entity is classified as active or inactive based on a detected state of the widget entity. The classified widget entity is modified into a corresponding machine-readable widget-entity based on the detected state. The at least one document is processed, via an extraction module, to detect a text entity in near vicinity of the classified widget entity. A training pair comprising the machine-readable widget entity and the corresponding text entity is generated. The neural network is trained using the generated training pair.

Find Patent Forward Citations

Hariharan, Reghu. (2024). Method and system for training neural network for entity detection (U.S. Patent No. 12033376). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12033376

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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