Conversation space artifact generation using natural language processing, machine learning, and ontology-based techniques
US11321534B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 11, 2020 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Dec 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is provided to implement a conversational system with artifact generation. A middleware component receives a user input and determines whether there is sufficient information in the user input and a conversation space in a context storage of the conversational system to identify user intent associated with the user input. Responsive to the middleware component determining there is not sufficient information to identify user intent, a communications handler component sends a natural language query to an external data source via a natural language query (NLQ) interface and receives a natural language response from the external data source. The middleware component updates the conversation space based on the natural language response and returns a user response based on the natural language response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.