Transforming conversational training data for different machine learning models
US12136043B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 1, 2022 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Jan 5, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/253
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving a command to transform a first statement in a first conversational training set into training data for a second training set, where the first conversational training set trains a first machine learning model in a first knowledge area, and where the second conversational training set trains a second machine learning model in a second knowledge area. The method also includes analyzing language of the first statement using a third machine learning model, where the third machine learning model is trained to recognize patterns of language variation between the first and second knowledge areas. The method also includes, responsive to the analyzing, selecting an original segment of the first statement. The method also includes, responsive to the selecting, transforming the first statement into a second statement, for the second conversational training set, that includes a substitute segment that at least partially replaces the original segment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.