Systems and methods for learning semantic patterns from textual data
US9959341B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 11, 2015 |
| Grant date | May 1, 2018 |
| Priority date | — |
| Expiry date | Apr 2, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a system is provided comprising at least one processor programmed to process an input text to identify a plurality of semantic patterns that match the input text, wherein, for at least one semantic pattern of the plurality of semantic patterns: the at least one semantic pattern comprises a plurality of semantic entities identified from the at least one input text, and the plurality of semantic entities occur in a common context within the at least one input text. The at least one processor may be further programmed to use statistical information derived from training data to associate a respective weight with each semantic pattern of the plurality of semantic patterns.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.