Research Article
Confidence-Aware Embedding for Knowledge Graph Entity Typing
Table 1
Model illustration of KG Noise Detection.
| Models | Data | The method | The goal |
| Jiang’s et al. [15] | Structured information in KG | Markov logic-based | Triple fact noises | PaTyBRED [17] | Path and type features in KG | Classifier | Triple fact noises | Neil’s et al. [18] | Structured information in KG | Attention mechanism + GCNNs | Triple fact noises | Liang’s et al. [19] | Large-scale lexical taxonomy | Graph-based method | IsA relation detection | Pujara’s et al. [9] | Structured information in KG | Embedding techniques | Triple fact noises | TransT [21] | Structured information in KG + data outside KG | Trustiness-aware embedding method | Triple fact noises | CKRL [20] | Structured information in KG | Confidence-aware embedding-based | Triple fact noises | Ma’s et al. [23] | Disjointness axioms in KG | Association rule mining | Inconsistency detection | SDType [24] | T-box information from the schema | Heuristic link-based type inference mechanism | Entity type noises | ConfE (this paper) | Structured information in KG | Confidence-aware embedding-based | Entity type noises |
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