Improving Relation Extraction by Pre-trained Language Representations
Table 4: TACRED single-model test set performance. We selected the hyperparameters using the validation set, and report the test score of the run with the median validation score among 5 randomly initialized runs. † marks results reported in the corresponding papers.
['System', 'P', 'R', 'F1']
Compared to SemEval, we observe methods to perform better that are able to model complex syntactic and long-range dependencies, such as PA-LSTM Zhang et al. et al. Outperforming these methods highlights our model’s ability to implicitly capture patterns similar to complex syntactic features, and also capture long-range dependencies.