Techniques for improving standardized data accuracy
US12229669B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 2021 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Dec 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a technique for mapping the raw text of a job title of an online job posting to an entity embedding, associated with an entity or entry of a title taxonomy. The raw text of the job title is first encoded to generate a multilingual word embedding in a multilingual word embedding space. Then, the vector representation of the job title, as represented in the multilingual word embedding space is translated, using a neural network, to a vector representation of the job title in the entity embedding space. Finally, a nearest neighbor search is performed to identify an entity embedding associated with an entity or entry in the title taxonomy that has a vector representation that is closest in distance to the vector output by the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.