From: MLM-based typographical error correction of unstructured medical texts for named entity recognition
Datasets | Algorithms | Precision | Recall | f1-score | Support |
---|---|---|---|---|---|
NCBI-disease | SymSpell | 0.62 | 0.7 | 0.67 | 3944 |
Proposed model | 0.65 | 0.81 | 0.72 | ||
SPR | SymSpell | 0.59 | 0.7 | 0.64 | 3671 |
Proposed model | 0.70 | 0.76 | 0.73 |