Entity Linking On N3 Reuters 128 1
Metrics
Micro-F1
Results
Performance results of various models on this benchmark
Model Name | Micro-F1 | Paper Title | Repository |
|---|---|---|---|
| E2E | 54.6 | End-to-End Neural Entity Linking | |
| FusionED | - | Entity Disambiguation via Fusion Entity Decoding | - |
| ReLiK-Base | 48.1 | ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget | |
| ReFinED | 58.1 | ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking | |
| ReLiK-Large | 51.7 | ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget |
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