Artificial intelligence system employing multimodal learning for analyzing entity record relationships
US11423072B1 · kind B1 · utility
8Cited by
17References
20Claims
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Key dates
| Filing date | Jul 31, 2020 |
| Grant date | Aug 23, 2022 |
| Priority date | — |
| Expiry date | Feb 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0499
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Respective text feature sets and non-text feature sets are generated corresponding to individual pairs of a plurality of record pairs. At least one text feature is based on whether a text token exists in both records of a pair. Perceptual hash values are used for non-text feature sets. A machine learning model is trained, using the text and non-text feature sets, to generate relationship scores for record pairs. The model includes a text sub-model and a non-text sub-model.
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