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. 25, 2025

Filed:

Aug. 10, 2023
Applicant:

Fifth Third Bank, Cincinnati, OH (US);

Inventors:

Arthur Eladio Weston, Union, KY (US);

Samuel Davis Edison, Cincinnati, OH (US);

Christopher Ryan Germain, Cincinnati, OH (US);

Sarah Elizabeth Rossi, Cincinnati, OH (US);

Assignee:

Fifth Third Bank, Cincinnati, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/18 (2013.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G10L 15/06 (2013.01); G10L 15/22 (2006.01); G06F 40/35 (2020.01); G10L 15/183 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G10L 15/18 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G06F 40/35 (2020.01); G10L 2015/0631 (2013.01); G10L 2015/0633 (2013.01); G10L 15/1822 (2013.01); G10L 15/183 (2013.01);
Abstract

The present disclosure describes an electronic device. The electronic device includes a memory and a processor. The processor is configured to provide an utterance to an NLU model, which selects an intent from the list of intents based on the utterance. The processor is also configured to cause a response to the utterance to be provided to a user based on the selected intent. The NLU may be trained by obtaining a dataset comprising one or more words, generating a list of intents based at least in part on the dataset, grouping the list of intents into one or more domains, generating a list of training utterances for each intent in the list of intents, and modifying one or more parameters of the NLU model based on the list of intents, the list of training utterances, and/or the one or more domains.


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