Explainable Extraction Performance Measure

An Explainable Extraction Performance Measure is an extraction performance metric that is an interpretability metric evaluating both extraction accuracy and explanation quality in explainable span extraction systems.

• AKA: Interpretable Extraction Metric, Span-Explanation Quality Measure.
• Context:
  • It can typically assess Explanation Correctness for span-decision links.
  • It can typically measure Explanation Completeness across all extractions.
  • It can typically evaluate Explanation Consistency between similar cases.
  • It can typically quantify Human Understandability of provided explanations.
  • It can typically detect Explanation Faithfulness to actual model behavior.
  • ...
  • It can often combine Extraction F1 with explanation scores.
  • It can often incorporate User Study Results for quality assessment.
  • It can often employ Automated Coherence Checks for explanation logic.
  • It can often measure Explanation Granularity at multiple levels.
  • ...
  • It can range from being an Automatic Explainability Measure to being a Human-Evaluated Explainability Measure, depending on its assessment method.
  • It can range from being a Binary Quality Measure to being a Scaled Quality Measure, depending on its scoring approach.
  • ...
  • It can evaluate Explainable Span Extraction Task performance.
  • It can guide Algorithm Development for interpretable systems.
  • It can support Model Selection in explainable AI applications.
  • It can diagnose Explanation Weaknesses in extraction systems.
  • ...
• Example(s):
  • Span-Purpose Alignment Score, measuring correctness of mappings.
  • Explanation Plausibility Score, assessing human agreement.
  • Extraction-Explanation F1, combining span accuracy and explanation quality.
  • Counterfactual Validity Score, testing explanation robustness.
  • Multi-Rater Agreement Score for explanation assessment.
  • ...
• Counter-Example(s):
  • Pure Extraction F1, which ignores explanation quality.
  • Speed Metrics, which measure efficiency not interpretability.
  • Coverage Metrics, which assess completeness not explanation.
• See: Interpretability Evaluation Metric, Extraction Quality Measure, Explainability Assessment, Joint Performance Metric.

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