Method of training model, method of determining word vector, device, medium, and product
US12277397B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2021 |
| Grant date | Apr 15, 2025 |
| Priority date | — |
| Expiry date | Oct 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a model, a method of determining a word vector, a device, a medium, and a product are provided, which may be applied to fields of natural language processing, information processing, etc. The method includes: acquiring a first word vector set corresponding to a first word set; and generating a reduced-dimensional word vector for each word vector in the first word vector set based on a word embedding model, generating, for other word vector in the first word vector set, a first probability distribution in the first word vector set based on the reduced-dimensional word vector, and adjusting a parameter of the word embedding model so as to minimize a difference between the first probability distribution and a second probability distribution for the other word vector determined by a number of word vector in the first word vector set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.