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:
Dec. 24, 2024

Filed:

Jan. 19, 2022
Applicant:

Servicenow, Inc., Santa Clara, CA (US);

Inventors:

Omer Anil Turkkan, Santa Clara, CA (US);

Edwin Sapugay, Foster City, CA (US);

Phani Bhushan Kumar Nivarthi, Fremont, CA (US);

Assignee:

ServiceNow, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 40/205 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/289 (2020.01); G06F 40/279 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06F 40/205 (2020.01);
Abstract

A natural language understanding (NLU) framework includes a lookup source system having one or more lookup sources. Each lookup source includes a respective source data representation that is compiled from respective source data. Once compiled, a user utterance can be submitted to the lookup source system, which generates segmentations of the user utterance. Each segmentation generally includes a collection of non-overlapping segments, and each segment generally describes how tokens of the user utterance can be grouped together and matched to the states of the source data representations. During lookup source inference, matches can be made to produced states or using fuzzy matchers that have corresponding of scoring adjustments. These scoring adjustments may be used by a segmentation scoring subsystem, potentially in combination with one or more additional segmentation scoring plugins, to score and rank the segmentations determined by the lookup source system for the user utterance.


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