Entity Disambiguation On Aquaint
Metrics
Micro-F1
Results
Performance results of various models on this benchmark
Model Name | Micro-F1 | Paper Title | Repository |
|---|---|---|---|
| GENRE | 89.9 | Autoregressive Entity Retrieval | |
| Global | 88.5 | Deep Joint Entity Disambiguation with Local Neural Attention | |
| KBED | 92.6 | Improving Entity Disambiguation by Reasoning over a Knowledge Base | |
| confidence-order | 93.5 | Global Entity Disambiguation with BERT | |
| ReFinED | 91.8 | ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking | |
| NER4EL | 69.5 | Named Entity Recognition for Entity Linking: What Works and What’s Next |
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