Knowledge-graph-embedding-based question answering
US11727243B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2019 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Nov 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein are embodiments for question answering over knowledge graph using a Knowledge Embedding based Question Answering (KEQA) framework. Instead of inferring an input questions' head entity and predicate directly, KEQA embodiments target jointly recovering the question's head entity, predicate, and tail entity representations in the KG embedding spaces. In embodiments, a joint distance metric incorporating various loss terms is used to measure distances of a predicated fact to all candidate facts. In embodiments, the fact with the minimum distance is returned as the answer. Embodiments of a joint training strategy are also disclosed for better performance. Performance evaluation on various datasets demonstrates the effectiveness of the disclosed systems and methods using the KEQA framework.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.