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:
Nov. 14, 2023

Filed:

Aug. 12, 2022
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Peter Tanski, Marborough, MA (US);

Matthew Peroni, Bedford, MA (US);

Deny Daniel, Medford, MA (US);

Ranjith Zachariah, Medford, MA (US);

Kevin Zhang, Braintree, MA (US);

Viji Soundar, Richmond, VA (US);

Paul Vest, Bumpass, MA (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/166 (2020.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/166 (2020.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01);
Abstract

Embodiments disclosed are directed to a computing system that performs steps to automatically suggest a word, phrase, or entity to complete a sequence in a risk control document. The computing system classifies, by a generative machine learning (ML) model, risk control features associated with phrases in a risk control document. The computing system then generates, by the generative ML model and based on the classified risk control features, suggested words, phrases, or entities to complete a sequence following a cursor position in the risk control document. The computing system then corrects, by a discriminative natural language processing (NLP) model with domain specific knowledge, the suggested words, phrases, or entities. Subsequently, the computing system generates, by a discriminative predictor system, an encoded sequence of word, phrase, or entity suggestions based on the cursor position, the classified risk control features, and the corrected suggested words, phrases, or entities.


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