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:
May. 19, 2026

Filed:

Oct. 31, 2022
Applicant:

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

Inventors:

Thanh Tien Vu, Brisbane, AU;

Tuyen Quang Pham, Melbourne, AU;

Mark Edward Johnson, Sydney, AU;

Thanh Long Duong, Melbourne, AU;

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

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

Vishal Vishnoi, Redwood City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 40/295 (2020.01);
Abstract

In some aspects, a computer obtains a trained conditional random field (CRF) model comprising a set of model parameters learned from training data and stored in a transition matrix. Tag sequences, inconsistent with the tag sequence logic, are identified for the tags within the transition matrix. setting, within the transition matrix, a cost associated with transitioning between the pair of tags to be equal to a predefined hyperparameter value that penalizes the transitioning between the inconsistent pair of tags. The CRF model receives a string of text comprising one or more named entities. The CRF model inputs the string of text into the CRF model having the cost associated with the transitioning between the pair of tags set equal to the predefined hyperparameter value. The CRF model classifies the words within the string of text into different classes which might include the one or more named entities.


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