Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities
Table 2: Micro F1 scores on the five ED datasets. Train: whether the model is trained using the training set of the CoNLL dataset.
['Name', 'Train', 'MSB', 'AQ', 'ACE', 'CW', 'WW', 'Avg.']
Our models trained only on our Wikipedia-based annotations outperformed recent strong models on the MSB, AQ, ACE, and WW datasets. Additionally, we also tested the performance of our models fine-tuned on the CoNLL dataset, and found that fine-tuning generally degraded the performance on these five datasets.