Entity Linking On Msnbc 1
Metrics
Micro-F1
Results
Performance results of various models on this benchmark
Model Name | Micro-F1 | Paper Title | Repository |
|---|---|---|---|
| Kannan Ravi et al. (2021) | 83.4 | CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata | - |
| Kolitsas et al. (2018) | 72.4 | End-to-End Neural Entity Linking | - |
| FusionED | - | Entity Disambiguation via Fusion Entity Decoding | - |
| van Hulst et al. (2020) | 72.4 | REL: An Entity Linker Standing on the Shoulders of Giants | - |
| ReFinED | 71.8 | ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking | - |
| ReLiK-Large | 75 | ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget | - |
| De Cao et al. (2021a) | 73.7 | Autoregressive Entity Retrieval | - |
| ReLiK-Base | 72.3 | ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget | - |
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