Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations
Table 3: English lexical sample task results in accuracy (%), averaged over three runs. Best accuracy in each dataset is shown in bold. Statistical significance tests by bootstrap resampling (∗: p<0.05) compare 1nn (1sent+1sur) with each of Simple (1sent+1sur), LW (1sent+1sur), GLU (1sent+1sur), and GLU+LW (1sent+1sur).
['[BOLD] System', '[BOLD] SE2', '[BOLD] SE3']
context2vec, which is pre-trained on a large amount of texts, performs worse than the prior semi-supervised ASO approach on Senseval-3, while our best result outperforms ASO by a large margin.