Enriching Pre-trained Language Model with Entity Information for Relation Classification
Table 3: Comparison of the BERT based methods with different components.
['Method', 'F1']
We observe that the three methods all perform worse than R-BERT. Of the methods, BERT-NO-SEP-NO-ENT performs worst, with its F1 8.16 absolute points worse than R-BERT. This ablation study demonstrates that both the special separate tokens and the hidden entity vectors make important contributions to our approach.