System and method for lookup source segmentation scoring in a natural language understanding (NLU) framework
US12175193B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2022 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Nov 21, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.