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:
Jul. 14, 2026

Filed:

Mar. 21, 2023
Applicant:

Quantiphi, Inc, Marlborough, MA (US);

Inventors:

Bhaskar Kalita, Marlborough, MA (US);

Karthik Kumar Veldandi, Mumbai, IN;

Jeevan Prakash, Mumbai, IN;

Alok Kumar Garg, Mumbai, IN;

Sagar Kewalramani, Toronto, CA;

Assignee:

Quantiphi Inc., Marlborough, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/93 (2019.01); G06F 40/103 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/93 (2019.01); G06F 40/103 (2020.01); G06F 40/279 (2020.01);
Abstract

Disclosed is a method for identifying multi-level hierarchical relationships between data elements of a document, the method comprising receiving a plurality of sample documents each having a plurality of data elements arranged in a multi-level hierarchical data structure; classifying each of the plurality of data elements into a key entity field or a key field value based on a hierarchical relationship therebetween; identifying key entity fields, from among the classified key entity field of the plurality of data elements, having the hierarchical relationship therebetween; pairing the key entity field, with a corresponding key field value or an identified key entity field, to form a training dataset; and employing the training dataset on a neural network framework, having at least one of a textual modality or a visual modality, to identify the multi-level hierarchical relationships between the data elements of the document.


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