Neural tagger with deep multi-level model
US11966700B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Jan 20, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the described technologies are capable of reading a text sequence that include at least one word; extracting model input data from the text sequence, where the model input data includes, for each word of the text sequence, segment data and non-segment data; using a first machine learning model and at least one second machine learning model, generating, for each word of the text sequence, a multi-level feature set; outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence; executing a search based at least in part on the tagged version of the text sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.