Mining training data for training dependency model
US11816636B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Oct 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/063112
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for mining training data for use in training a dependency model are disclosed herein. In some embodiments, a computer-implemented method comprises: obtaining training data comprising a plurality of reference skill pairs, each reference skill pair comprising a corresponding first reference skill and a corresponding second reference skill, the plurality of reference skill pairs being included in the training data based on a co-occurrence of the corresponding first and second reference skills for each reference skill pair in the plurality of reference skill pairs, the co-occurrence comprising the corresponding first and second reference skills co-occurring for a same entity; and training a dependency model with a machine learning algorithm using the training data, the dependency model comprising a logistic regression model or a data gradient boosted decision tree (GBDT) model. The dependency model may then be used to identify corresponding dependency relations for a plurality of target skill pairs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.