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. 25, 2025

Filed:

Mar. 30, 2021
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Thanh Long Duong, Seabrook, AU;

Mark Edward Johnson, Castle Cove, AU;

Vishal Vishnoi, Redwood City, CA (US);

Balakota Srinivas Vinnakota, Sunnyvale, CA (US);

Yu-Heng Hong, Carlton, AU;

Elias Luqman Jalaluddin, Seattle, WA (US);

Assignee:

Oracle International Corporation, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/906 (2019.01); G06F 18/22 (2023.01); G06F 18/2413 (2023.01); G06F 40/30 (2020.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/906 (2019.01); G06F 18/22 (2023.01); G06F 18/24147 (2023.01); G06F 40/30 (2020.01); G10L 15/063 (2013.01); G10L 15/1815 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2013.01);
Abstract

The present disclosure relates to chatbot systems, and more particularly, to batching techniques for handling unbalanced training data when training a model such that bias is removed from the trained machine learning model when performing inference. In an embodiment, a plurality of raw utterances is obtained. A bias eliminating distribution is determined and a subset of the plurality of raw utterances is batched according to the bias-reducing distribution. The resulting unbiased training data may be input into a prediction model for training the prediction model. The trained prediction model may be obtained and utilized to predict unbiased results from new inputs received by the trained prediction model.


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