Hybrid learning system for natural language intent extraction from a dialog utterance
US10713441B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 2, 2019 |
| Grant date | Jul 14, 2020 |
| Priority date | — |
| Expiry date | Jan 2, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/225
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An agent automation system includes a memory configured to store a natural language understanding (NLU) framework and a processor configured to execute instructions of the NLU framework to cause the agent automation system to perform actions. These actions comprise: generating an annotated utterance tree of an utterance using a combination of rules-based and machine-learning (ML)-based components, wherein a structure of the annotated utterance tree represents a syntactic structure of the utterance, and wherein nodes of the annotated utterance tree include word vectors that represent semantic meanings of words of the utterance; and using the annotated utterance tree as a basis for intent/entity extraction of the utterance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.