Machine learning auto completion of fields
US10977575B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 10, 2017 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Dec 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for using a mathematical model based on historical natural language inputs to automatically complete form fields are disclosed. An incident report may be defined with a set of required parameter fields such as category, priority, assignment, and classification. Incident report submission forms may also have other free text input fields providing information about a problem in the natural vocabulary of the person reporting the problem. Automatic completion of these so-called parameter fields may be based on analysis of the natural language inputs and use of machine learning techniques to determine appropriate values for the parameter fields. The machine learning techniques may include parsing the natural language input to determine a mathematical representation and application of the mathematical representation to “match” historically similar input. Once matched the parameter values from the historically similar input may be used instead of generic default values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.