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. 18, 2025

Filed:

Nov. 09, 2023
Applicant:

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

Inventors:

Gioacchino Tangari, Sydney, AU;

Chang Xu, Sydney, AU;

Nitika Mathur, Melbourne, AU;

Philip Arthur, Sydney, AU;

Syed Najam Abbas Zaidi, Melbourne, AU;

Aashna Devang Kanuga, Foster City, CA (US);

Cong Duy Vu Hoang, Wantima South, AU;

Poorya Zaremoodi, Melbourne, AU;

Thanh Long Duong, Seabrook, AU;

Mark Edward Johnson, Sydney, AU;

Vishal Vishnoi, Redwood City, CA (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 40/211 (2020.01); G06F 40/284 (2020.01); G06F 40/40 (2020.01); G06N 3/08 (2023.01); G10L 25/00 (2013.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/211 (2020.01); G06F 40/284 (2020.01);
Abstract

Techniques are disclosed herein for improving model robustness on operators and triggering keywords in natural language to a meaning representation language system. The techniques include augmenting an original set of training data for a target robustness bucket by leveraging a combination of two training data generation techniques: (1) modification of existing training examples and (2) synthetic template-based example generation. The resulting set of augmented data examples from the two training data generation techniques are appended to the original set of training data to generate an augmented training data set and the augmented training data set is used to train a machine learning model to generate logical forms for utterances.


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