Systems and method for vocabulary management in a natural learning framework
US10956683B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2019 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Jun 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/225
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An agent automation system implements a virtual agent that is capable of learning new words, or new meanings for known words, based on exchanges between the virtual agent and a user in order to customize the vocabulary of the virtual agent to the needs of the user or users. The agent automation framework has access to a corpus of previous exchanges between the virtual agent and the user, such as one or more chat logs. New words and/or new meanings for known words are identified within the corpus and new word vectors are generated for these new words and/or new meanings for known words and added to refine a word vector distribution model. The refined word vector distribution model is then utilized by the agent automation system to interact with the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.