Robust systems and methods for training summarizer models
US11816573B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2023 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Apr 24, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described for producing machine learning models to generate findings associated with user experiences with products and/or services. In some embodiments, a training process receives a set of findings from one or more user experience tests, where a finding includes a summary and a set of one or more references supporting the summary. The training process further identifies a supplemental set of one or more references that were not included in the initial finding to support the summary. The training process trains a machine learning model, such as a neural or generative language model, based on the first set of one or more references and the second set of one or more references to generate summaries from a subset of sampled references based at least in part on the first set of one or more references and the second set of one or more references.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.