Zero-Shot Entity Linking by Reading Entity Descriptions
Table 6: Performance on test domains with Full-Transformer. N. Acc represents the normalized accuracy. U. Acc represents the unnormalized accuracy. The unnormalized accuracy is upper-bounded by 68%, the top-64 recall of the candidate generation stage.
['Pre-training', 'EL Accuracy N. Acc.', 'EL Accuracy U. Acc.']
Our best model that chains together all pre-training strategies achieves normalized accuracy of 77.05% and unnormalized accuracy of 56.58%. Note that the unnormalized accuracy corresponds to identifying the correct entity from tens of thousands of candidate entities.