Global Entity Disambiguation with Pretrained Contextualized Embeddings of Words and Entities
Table 1: In-KB accuracy on the CoNLL dataset. The 95% confidence intervals over five runs are also reported if available. Train: whether the model is trained using the training set of the CoNLL dataset.
['Name', 'Train', 'Accuracy']
Our global models successfully outperformed all the recent strong models, including models based on ELMo Shahbazi et al. Furthermore, our confidence-order model trained only on our Wikipedia-based annotations outperformed two recent models trained on the in-domain training set of the CoNLL dataset, namely, \newciteYamada2016 and \newciteganea-hofmann:2017:EMNLP2017.