Predicting labels using a deep-learning model
US11599566B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 8, 2019 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Oct 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a method includes receiving, from a client system, a text input comprising one or more n-grams, determining, using a deep-learning model, a vector representation of the text input based on the one or more n-grams, determining an embedding of the vector representation of the text input in a d-dimensional embedding space, identifying one or more labels based on, for each of the one or more labels, a respective similarity of an embedding of a vector representation of the label in the embedding space to the embedding of the vector representation of the text input, and sending, to the client system in response to the received text input, instructions for presenting a user interface comprising one or more of the identified labels as suggested labels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.