Extracting triplets from text with relationship prediction matrix, entity prediction matrix, and alignment matrix
US12333251B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 28, 2022 |
| Grant date | Jun 17, 2025 |
| Priority date | — |
| Expiry date | Aug 8, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are an information extraction method, an electronic device and a readable storage medium, which relate to the field of artificial intelligence technologies, and particularly to the field of knowledge graph technologies. The information extraction method includes: acquiring to-be-processed text to obtain a semantic vector of each token in the to-be-processed text; generating a relationship prediction matrix, an entity prediction matrix and an alignment matrix according to each token in the to-be-processed text and the semantic vector of each token; and extracting a target triplet in the to-be-processed text using the relationship prediction matrix, the entity prediction matrix and the alignment matrix, and taking the target triplet as an information extraction result of the to-be-processed text.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.