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:
Feb. 18, 2025

Filed:

Dec. 08, 2021
Applicant:

Pwc Product Sales Llc, New York, NY (US);

Inventors:

Prakash Chandra, Fremont, CA (US);

Santosh Gupta, San Jose, CA (US);

Ajay Nandanwar, Campbell, CA (US);

Sanjay Verma, Atherton, CA (US);

Devendra Vidhani, Pleasanton, CA (US);

Assignee:

PwC Product Sales LLC, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2023.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G10L 25/30 (2013.01);
Abstract

The present disclosure relates generally to natural language understanding. An exemplary computer-enabled method comprises: receiving first utterance data corresponding to a first plurality of intents; identifying a first plurality of intent clusters using an unsupervised machine-learning algorithm, wherein each intent cluster of the first plurality of intent clusters comprises a respective subset of the first plurality of intents; training, based on the first utterance data, an intent cluster classification model, wherein the intent cluster classification model is configured to receive a user utterance and identify an intent cluster of the first plurality of intent clusters; and training, based on the first utterance data, an intent classification model for each intent cluster of the first plurality of intent clusters to obtain a plurality of intent classification models, wherein each intent classification model is configured to receive the user utterance and identify an intent from the respective intent cluster.


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