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:
May. 11, 2021

Filed:

Mar. 03, 2020
Applicant:

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

Inventors:

Gregory W. Zoller, Coppell, TX (US);

Scott Karp, Leesburg, VA (US);

Sujay Eliphaz Jacob, Ashburn, VA (US);

Erik Mueller, Chevy Chase, MD (US);

Stephanie Hay, Falls Church, VA (US);

Adam Roy Paynter, Plano, TX (US);

Assignee:

CAPITAL ONE SERVICES, LLC, McLean, VA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 13/027 (2013.01); G06Q 50/00 (2012.01); G06Q 30/00 (2012.01); G06N 5/04 (2006.01); H04L 12/58 (2006.01); G06N 20/00 (2019.01); G06F 9/54 (2006.01); G06F 40/35 (2020.01); G06F 40/284 (2020.01); G10L 13/00 (2006.01); G10L 15/26 (2006.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G10L 13/027 (2013.01); G06F 9/542 (2013.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G06Q 30/016 (2013.01); G06Q 50/01 (2013.01); G10L 13/00 (2013.01); G10L 15/26 (2013.01); H04L 51/02 (2013.01); G10L 15/22 (2013.01); G10L 2015/223 (2013.01);
Abstract

A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.


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