Fine-Grained Entity Typing in Hyperbolic Space
Table 1: Type instances in the dataset grouped by split and granularity.
['[BOLD] Split', '[BOLD] Coarse', '[BOLD] Fine', '[BOLD] Ultra-fine']
All the hierarchies show very low performance on fine when compared to the MultiTask model. This exhibits a weakness of our regression setup. On the test set there are 1,998 instances but only 1,318 fine labels as ground truth By forcing a prediction on the fine level for all instances, precision decreases notably.