Research Article
A Knowledge Graph Entity Disambiguation Method Based on Entity-Relationship Embedding and Graph Structure Embedding
Table 2
F1 mean values of EDEGE and the baseline method on different data sets.
| Method | AIDA-B | AIDA-CoNLL | MSNBC | AQUAINT | ACE2004 | Average |
| PBoH | 0.752 | 0.741 | 0.753 | 0.761 | 0.749 | 0.7512 | DoSeR | 0.895 | 0.885 | 0.725 | 0.876 | 0.883 | 0.8528 | NeuPL | 0.896 | 0.878 | 0.879 | 0.884 | 0.897 | 0.8868 | GNED | 0.899 | 0.893 | 0.882 | 0.887 | 0.898 | 0.8918 | NCEL | 0.878 | 0.879 | 0.889 | 0.87 | 0.89 | 0.8812 | E2ENEL | 0.892 | 0.866 | 0.873 | 0.882 | 0.894 | 0.8814 | BOOTLEG | 0.891 | 0.891 | 0.874 | 0.865 | 0.873 | 0.8788 | EDEGE | 0.924 | 0.921 | 0.914 | 0.908 | 0.919 | 0.9172 |
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To distinguish the proposed EDEGE method from baseline methods, the maximum value is bold in each column.
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