Multi-factor modelling for natural language processing
US12099816B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 18, 2022 |
| Grant date | Sep 24, 2024 |
| Priority date | — |
| Expiry date | Jan 22, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for systems including techniques for multi-factor modelling for training and utilizing chatbot systems for natural language processing. In an embodiment, a method includes receiving a set of utterance data corresponding to a natural language-based query, determining one or more intents for the chatbot corresponds to a possible context for the natural language-based query and associated with a skill for the chatbot, generating one or more intent classification datasets, each intent classification dataset associated with a probability that the natural language query corresponds to an intent of the one or more intents, generating one or more transformed datasets each corresponding to a skill of one or more skills, determining a first skill of the one or more skills based on the one or more transformed datasets and processing, based on the determined first skill, the set of utterance data to resolve the natural language-based query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.