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. 03, 2026

Filed:

Aug. 18, 2023
Applicant:

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

Inventors:

Tomas Feith, Zurich, CH;

Arno Schneuwly, Effretikon, CH;

Saeid Allahdadian, Vancouver, CA;

Matteo Casserini, Zurich, CH;

Felix Schmidt, Baden-Dattwil, CH;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 8/41 (2018.01); G06F 16/901 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 8/425 (2013.01); G06F 8/427 (2013.01); G06F 16/9024 (2019.01); G06F 16/9027 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01);
Abstract

In an embodiment providing natural language processing (NLP), a computer generates a histogram that correctly represents a graph that represents a lexical text, and generates a token sequence encoder that is trainable and untrained. During training such as pretraining, the token sequence encoder infers an encoded sequence that incorrectly represents the lexical text, and the encoded sequence is dense and saves space. To increase the accuracy of the sequence encoder by learning, the token sequence encoder is adjusted based on, as discussed herein, an indirectly measured numeric difference between the encoded sequence that incorrectly represents the lexical text and the histogram that correctly represents the graph.


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