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- **Max Sequence Length:** 256 tokens (both mentions and descriptions)
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### Benchmark Results
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- **Dataset:** Zero-Shot Entity Linking [(Logeswaran et al., 2019)](https://arxiv.org/abs/1906.07348) test set.
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- **Metric:** Recall@64
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- **Score:** 80.29%
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- **Comparison:** [Meta AI's BLINK](https://arxiv.org/pdf/1911.03814) achieves 82.06% on the same test set - slightly higher than ours, however, their model was trained on the training set but ours was not.
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- **Conclusion:** Our model has strong zero-shot performance
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- **Max Sequence Length:** 256 tokens (both mentions and descriptions)
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### Benchmark Results
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- **Dataset:** Zero-Shot Entity Linking [(Logeswaran et al., 2019)](https://arxiv.org/abs/1906.07348) test set.
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- **Metric:** Recall@64 (Average performance across the set of test worlds was computed by macroaveraging - we followed the same pattern as in [Meta AI's BLINK paper](https://arxiv.org/pdf/1911.03814))
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- **Score:** 80.29%
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- **Comparison:** [Meta AI's BLINK](https://arxiv.org/pdf/1911.03814) achieves 82.06% on the same test set - slightly higher than ours, however, their model was trained on the training set but ours was not.
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- **Conclusion:** Our model has strong zero-shot performance
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