Unsupervised learning of interpretable conversation models from conversation logs
US10909327B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2018 |
| Grant date | Feb 2, 2021 |
| Priority date | — |
| Expiry date | Jan 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and computer program products for unsupervised learning of interpretable conversation models from conversation logs are provided herein. A computer-implemented method includes obtaining human-to-human conversation logs; training a deep learning model by (i) learning, in an unsupervised manner, semantic labels for dialog contexts in the multiple human-to-human conversation logs, (ii) mapping the learned semantic labels to query responses across the multiple human-to-human conversation logs, and (iii) inferring one or more entities from the multiple conversation logs based at least in part on the mapping; constructing a human-interpretable conversation model based at least in part on patterns determined via the trained deep learning model; and outputting the human-interpretable conversation model to at least one user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.