Natural language bias detection in conversational system environments
US12147768B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2021 |
| Grant date | Nov 19, 2024 |
| Priority date | — |
| Expiry date | Oct 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, apparatus and computer program for detecting natural language (NL) bias by a conversational system is described. Embodiments of the invention determine an NL bias in a set of training questions used to train a machine learning model used by the conversational system to select a user intent. Other embodiments of the invention determine an NL bias in a user question received by the conversation system as compared to the set of training questions. The NL bias causes the machine learning to preferentially associate user queries to a user intent. In respective embodiments, the system takes a corrective action to adjust the NL bias of the training questions or the user question.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.