Architecture for gazetteer-augmented named entity recognition
US11604925B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 22, 2020 |
| Grant date | Mar 14, 2023 |
| Priority date | — |
| Expiry date | May 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1822
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Features are disclosed for training and using named entity recognition models based on gazetteer information. A named entity recognition model can be trained with a gazetteer output at a layer of the model to provide deterministic data in the probabilistic model. The named entity recognition model can recognize named entities based on the word embedding and the gazetteer output. The named entity recognition model can tune the gazetteer output to include false positive name entities such that the gazetteer output is not deterministic of the output of the model. In some embodiments, the named entity recognition model can be tuned so as to adjust the gazetteer output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.