TCMNER and PubMed: A Novel Chinese Character-Level-Based Model and a Dataset for TCM Named Entity Recognition

Figure 3

The classification and identification experiments of the representative models on the test set of publications and medical records. All compared models achieve a better performance in the way of identification than classification. It shows that all models misclassify the character that its gold label is “O” into “B-/I-. We notice that the difference of RoBERTa-c between classification and identification is the smallest.