EntEval: A Holistic Evaluation Benchmark for Entity Representations
Table 5: Accuracies (%) on CoNLL-YAGO with static or non-static entity representations.
['[EMPTY]', 'CoNLL']
The three models all use ELMo as the context encoder. “ELMo” encodes the entity name with ELMo as descriptive encoder, while both Gupta et al. As Gupta et al. and Deep ED have different embedding sizes from ELMo, we add an extra linear layer after them to map to the same dimension. These two models are designed for entity linking, which gives them potential advantages. Even so, ELMo outperforms them both by a wide margin.