Interaction network inference from vector representation of words
US10593422B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2017 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Apr 10, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to a system and method for extracting information from text data. The method comprises: obtaining a plurality of text elements. A word embedding algorithm may be applied to the obtained text elements by mapping each text element of at least part of the text elements into a vector of a predefined dimension. The mapped text elements may be clustered into groups using the distances between the respective vectors. For each text element of a set of text elements of the mapped text elements a respective distribution of neighbors across the groups may be built. Similarity scores may be computed using the distributions thereby for determining relations between the set of text elements.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.