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. Author manuscript; available in PMC: 2021 Aug 18.
Published in final edited form as: ACM BCB. 2021 Aug;2021:49. doi: 10.1145/3459930.3469560

Table 4:

Performance of the transformer-based models vs. the baseline Att-BiLSTM-CRF model on FRD.

Model Strict Criterion Relaxed Criterion
Precision Recall F1 Precision Recall F1
BERT 0.7618 0.7919 0.7765 0.8972 0.9208 0.9089
BERT-MIMIC 0.7517 0.7949 0.7727 0.8895 0.9290 0.9088
BLUEBERT 0.7550 0.7948 0.7744 0.8933 0.9280 0.9103
ALBERT 0.7248 0.7671 0.7454 0.8644 0.9007 0.8822
ALBERT-MIMIC 0.7422 0.7682 0.7550 0.8820 0.8974 0.8896
RoBERTa 0.7610 0.8061 0.7829 0.8908 0.9333 0.9115
RoBERTa-MIMIC 0.7601 0.8026 0.7808 0.8918 0.9331 0.9120
RoBERTa-MIMIC-Trial 0.7680 0.8027 0.7849 0.9028 0.9290 0.9157
ELECTRA 0.7444 0.7910 0.7670 0.8840 0.9254 0.9042
ELECTRA-MIMIC 0.7683 0.7903 0.7792 0.9034 0.9185 0.9109
Att-BiLSTM-CRF 0.6799 0.7199 0.6993 0.8692 0.9039 0.8862