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:
Mar. 10, 2026

Filed:

May. 06, 2024
Applicant:

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

Inventors:

Gioacchino Tangari, Sydney, AU;

Cong Duy Vu Hoang, Melbourne, AU;

Stephen Andrew Mcritchie, Palo Alto, CA (US);

Steve Wai-Chun Siu, Melbourne, AU;

Dalu Guo, Sydney, AU;

Christopher Mark Broadbent, Wellington, FL (US);

Thanh Long Duong, Melbourne, AU;

Srinivasa Phani Kumar Gadde, Fremont, CA (US);

Vishal Vishnoi, Redwood City, CA (US);

Kenneth Khiaw Hong Eng, Newark, CA (US);

Chandan Basavaraju, Bangalore, IN;

Assignee:

Oracle International Corporation, Redwood Shores, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 2015/0631 (2013.01);
Abstract

Techniques are disclosed herein for managing ambiguous date mentions in natural language utterances in transforming natural language utterances to logical forms by encoding the uncertainties of the ambiguous date mentions and including the encoded uncertainties in the logical forms. In a training phase, training examples including natural language utterances, logical forms, and database schema information are automatically augmented and used to train a machine learning model to convert natural language utterances to logical form. In an inference phase, input database schema information is augmented and used by the trained machine learning model to convert an input natural language utterance to logical form.


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