Table 6 Results on NCBI.
From: A diffusion enhanced CRF and BiLSTM framework for accurate entity recognition
Model | NCBI | ||
|---|---|---|---|
Pr.(%) | Rec.(%) | F1(%) | |
BioBERT (2020) | 87.70 | 87.70 | 89.90 |
SicknessMiner (2022) | 85.22 | 87.14 | 86.17 |
Instr-Tuned NER (2022) | 86.90 | 87.60 | 87.25 |
Multi-Task Learning (2022) | 85.40 | 88.10 | 86.73 |
Hierarchical NER (2022) | 86.50 | 87.20 | 86.85 |
SBLC (2023) | 86.30 | 86.00 | 86.20 |
NER with BERT (2023) | 86.15 | 88.05 | 87.09 |
BioNER-LLAMA (2023) | 86.90 | 87.60 | 87.25 |
DiffusionNER (2023) | 86.88 | 89.69 | 88.20 |
Ours | 87.41 | 91.29 | 89.28 |
