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:
Aug. 04, 2026

Filed:

Jan. 10, 2024
Applicant:

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

Inventors:

Cong Duy Vu Hoang, Melbourne, AU;

Poorya Zaremoodi, Melbourne, AU;

Thanh Tien Vu, Brisbane, AU;

Gioacchino Tangari, Sydney, AU;

Mark Edward Johnson, Sydney, AU;

Thanh Long Duong, Melbourne, AU;

Vishal Vishnoi, Redwood City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06F 16/2452 (2019.01); G06F 16/2455 (2019.01); G10L 15/18 (2013.01); G06F 16/28 (2019.01); G06F 40/30 (2020.01); G06N 3/0455 (2023.01);
U.S. Cl.
CPC ...
G06F 16/24522 (2019.01); G06F 16/24552 (2019.01); G10L 15/18 (2013.01); G10L 15/1815 (2013.01); G10L 15/1822 (2013.01); G06F 16/24526 (2019.01); G06F 16/24528 (2019.01); G06F 16/284 (2019.01); G06F 40/30 (2020.01); G06N 3/0455 (2023.01); G10L 15/22 (2013.01);
Abstract

Techniques for natural language processing include accessing an input string comprising a natural language utterance and a database schema representation for a database; providing the natural language utterance to a first encoder to generate one or more embeddings of the natural language utterance; providing the database schema representation to the first encoder to generate one or more embeddings of the database schema representation; encoding, by a second encoder, relations between elements in the database schema representation and words in the natural language utterance based on the one or more embeddings of the natural language utterance and the one or more embeddings of the database schema representation; and generating a logical form for the natural language utterance based on the encoded relations, the one or more embeddings of the natural language utterance, and the one or more embeddings of the database schema representation.


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