Intent-based conversational knowledge graph for spoken language understanding system
US11929066B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 8, 2020 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Oct 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described are systems, methods, apparatuses, and computer program product embodiments for automatically processing intent-based spoken language for SLU. The disclosed solution uses a scale-free network structured conversational knowledge graph that stores nodes representative of actions, objects, and intent names and edges representative of relationships between the nodes. For all phrases (including a sentence) from the same intent, the system calculates a mean feature vector using a Universal Sentence Embedding (USE) model as a feature element. The system also employs a multi-step intent detection strategy. A graph query technique may be used to match all potential intent nodes from the trained knowledge graph. The system may compute a covariance matrix between the feature element of an input phrase and feature elements of all potential intents. The major component of the covariance matrix along with the maximum covariance may be used to determine the final intent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.