Neural representation of automated conversational agents (chatbots)
US11183203B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 16, 2019 |
| Grant date | Nov 23, 2021 |
| Priority date | — |
| Expiry date | Feb 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/006
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present systems and methods may provide techniques by which bots may be analyzed using improved representations of bot structure and a means of assessing conversational quality that may provide improved efficiency. For example a method may comprise training, at a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, a neural network model to learn representations that capture characteristics of the graphs of chatbots, wherein the captured characteristics include at least a content-based representation based on user utterances that are relevant to the nodes and based on the chatbot response for the nodes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.