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:
Sep. 29, 2026

Filed:

Jun. 30, 2021
Applicant:

Deepsee.ai Inc., Salt Lake City, UT (US);

Inventors:

Stephen W. Shillingford, Salt Lake City, UT (US);

Wacey T. Richards, Midway, UT (US);

Bryan W. Sparks, Lindon, UT (US);

Assignee:

DeepSee.ai Inc., Draper, UT (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 18/214 (2023.01); G06F 40/169 (2020.01); G06F 40/30 (2020.01); G06N 5/025 (2023.01); G06N 20/00 (2019.01); G06V 30/14 (2022.01); G06V 30/19 (2022.01); G06V 30/41 (2022.01);
U.S. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 18/214 (2023.01); G06F 40/169 (2020.01); G06F 40/30 (2020.01); G06N 5/025 (2013.01); G06N 20/00 (2019.01); G06V 30/1448 (2022.01); G06V 30/1456 (2022.01); G06V 30/19133 (2022.01); G06V 30/19173 (2022.01); G06V 30/41 (2022.01);
Abstract

A user may markup the training documents to identify salient terms in a set of training unstructured documents. The system may automatically generate an extraction ruleset for each salient term that can be manually modified or edited by the user. The user may also provide analysis rulesets for each of the salient terms using, for example, a no-code graphical user interface. A machine learning model can be trained to automatically extract and analyze the salient terms based on feature vectors built from the extraction rulesets and/or analysis rulesets of the salient terms. After training, the system may import a set of unstructured documents for term extraction and analysis by the trained machine learning model. The system may generate a report, such as a PDF or an interactive graphical user interface, summarizing the results of the extracted and analyzed salient terms.


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