SPerva/pillchecker-ner-benchmark
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Named Entity Recognition and interaction checking for pharmaceutical labels
Note 11,796 case benchmark for pharma NER on OCR packaging text
Note Zero-shot severity classifier for drug interaction descriptions
Note GLiNER adjudicator — union mode achieved 85.1% F1 in benchmark
Note Primary NER model — 108M params, 84% recall on pharma packaging text
Note Source dataset — 11,825 Indian brand medicines with compositions