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:
Jan. 09, 2024

Filed:

Jan. 19, 2022
Applicant:

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

Inventors:

Duy Vu, Melbourne, AU;

Tuyen Quang Pham, Springvale, AU;

Cong Duy Vu Hoang, Wantirna South, AU;

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

Thanh Long Duong, Seabrook, AU;

Mark Edward Johnson, Castle Cove, AU;

Vishal Vishnoi, Redwood City, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/205 (2020.01); G06V 30/19 (2022.01); G06F 40/40 (2020.01); G06F 40/35 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06F 40/295 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01); G06V 30/19147 (2022.01);
Abstract

Techniques are provided for using context tags in named-entity recognition (NER) models. In one particular aspect, a method is provided that includes receiving an utterance, generating embeddings for words of the utterance, generating a regular expression and gazetteer feature vector for the utterance, generating a context tag distribution feature vector for the utterance, concatenating or interpolating the embeddings with the regular expression and gazetteer feature vector and the context tag distribution feature vector to generate a set of feature vectors, generating an encoded form of the utterance based on the set of feature vectors, generating log-probabilities based on the encoded form of the utterance, and identifying one or more constraints for the utterance.


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