Clustering and standardizing structured data records generated using an extraction neural network
US12293842B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 22, 2024 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Aug 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H10/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for normalizing a collection of structured data records generated by an extraction neural network to enable large-scale data processing and analysis for query answering. According to one aspect, there is provided a method that includes extracting text strings from the structured data records, embedding the text strings in a latent space, performing an iterative numerical clustering operation in the latent space to cluster the embeddings of the text strings, and then identifying standardized text strings based on a result of the clustering. The structured data records are normalized using the standardized text strings. The normalized collection of structured data records are then used to generate a response to a user query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.