Systems and methods for automated machine learning model training for a custom authored prompt
US11443140B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 20, 2019 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | May 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F8/38
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for automated custom training of a scoring model are disclosed herein. The method include: receiving a plurality of responses received from a plurality of students in response to providing of a prompt; identifying an evaluation model relevant to the provided prompt, which evaluation model can be a machine learning model trained to output a score relevant to at least portions of a response; generating a training indicator that provides a graphical depiction of the degree to which the identified evaluation model is trained; determining a training status of the model; receiving at least one evaluation input when the model is identified as insufficiently trained; updating training of the evaluation model based on the at least one received evaluation input; and controlling the training indicator to reflect the degree to which the evaluation model is trained subsequent to the updating of the training of the evaluation model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.