Continuous learning based semantic matching for textual samples
US10409914B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2017 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | Aug 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/063112
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method may include receiving, by a device, an input sample of textual content. The method may include identifying, by the device, a comparison sample that is semantically similar to the input sample. The comparison sample may be identified based on a similarity score, of the comparison sample and the input sample, satisfying a semantic similarity threshold. The method may include identifying, by the device, a plurality of output samples of textual content based on acceptance information corresponding to the plurality of output samples and the comparison sample. The acceptance information may be determined based on a user input regarding similarity or relevance of the plurality of output samples and the comparison sample, and the user input may be received before the input sample is received.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.