Interpretable Entity Representations through Large-Scale Typing
Table 6: Macro-averaged P/R/F1 on the development sets.
['Model', '#Types', 'P', 'R', 'F1']
One important factor for our model is the performance of the underlying entity typing model. On Wiki-Context, our entity typing model achieves 82.0 F1, which can be considered as a high number given that this is 60k multi-label classification. All Wiki-Description development examples are unseen during the training time; thus, F1 is lower compared to Wiki-Context.