Translating transaction descriptions using machine learning
US10572607B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 27, 2018 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Sep 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/389
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include generating a source transaction description, encoding, by an encoder model of a machine translation model executing on a computer processor, the source transaction description to create a context vector, decoding, by a decoder model of the machine translation model, the context vector to predict a target entity description, generating a transaction including the target entity description, detecting an acceptance, by a user, of an action performed on the transaction, in response to detecting the acceptance, updating a translation accuracy metric for the target entity description, determining that the updated translation accuracy metric satisfies a translation accuracy criterion, and in response to determining that the updated translation accuracy metric satisfies the translation accuracy criterion, adding the target entity description to golden entity descriptions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.