Extracting entity relations from semi-structured information
US11514091B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 7, 2019 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Oct 1, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.