One Epoch

Figure 1: Projecting 50-dimensional embeddings obtained by training a simple neural network without SSE (Left), and with SSE-Graph (Center), SSE-SE (Right) into 3D space using PCA. Table 1: The experimental results of BERT-NER with SSE-SE and without SSE-SE when we only allow fine-tuning BERT for one epoch and two epochs. The same set of hyper-parameters are used. We thank the reviewers for their insightful feedback. In the following, we address their concerns and questions.