Context Aware Confidence Scoring With Entity Type Specific Thresholds

via “confidence scoring and uncertainty quantification for predictions”

token-classification model by undefined. 18,78,235 downloads.

Unique: Outputs raw softmax probabilities from the classification head, but does not provide calibrated confidence estimates or Bayesian uncertainty quantification. Users must implement their own confidence thresholding and calibration strategies, or use post-hoc methods like temperature scaling.

vs others: Provides more granular confidence information than hard predictions alone, but requires additional post-processing compared to models with built-in uncertainty quantification (e.g., Bayesian NER models or ensemble methods).