System and method for repository-aware natural language understanding (NLU) using a lookup source framework
US12299391B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 19, 2022 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Nov 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A natural language understanding (NLU) framework includes a lookup source framework, which enables a lookup source system to be defined having one or more lookup sources. The lookup source system can operate in a number of different manners to facilitate repository-aware inference of user utterances, for example, by facilitating vocabulary injection during compilation of an utterance meaning model and/or an understanding model. Additionally, the lookup source system can be leveraged to cleanse client-specific training data of sensitive values to generate generic training data that can be used to train the NLU framework of other clients. The lookup sources can be compiled in a synchronous or asynchronous manner, which enables lookup sources to be compiled in an on-demand basis from test source data. Additionally, understanding models that reference lookup sources can be periodically recompiled while leveraging the latest versions of the lookup sources for vocabulary injection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.