Inter-Expert Agreement Measure

An Inter-Expert Agreement Measure is an evaluation reliability measure that quantifies consensus levels among domain experts through agreement coefficients accounting for chance agreement.

• AKA: Inter-Expert Agreement Metric, Expert Agreement Measure, Inter-Expert Reliability, Expert Consensus Measure, Professional Agreement Index.
• Context:
  • It can typically calculate Krippendorff's Alpha for multi-rater agreement.
  • It can typically employ Weighted Kappa for ordinal rating scales.
  • It can often identify Systematic Disagreement Patterns among expert raters.
  • It can often establish Reliability Thresholds for evaluation validity.
  • It can support Rater Training Effectiveness assessment through agreement tracking.
  • It can handle Missing Data Patterns in incomplete annotations.
  • It can incorporate Distance Functions for disagreement magnitude.
  • It can validate Annotation Quality in gold standard creation.
  • It can range from being a Binary Inter-Expert Agreement to being a Multi-Class Inter-Expert Agreement, depending on its category count.
  • It can range from being a Pairwise Inter-Expert Agreement to being a Multi-Rater Inter-Expert Agreement, depending on its rater configuration.
  • It can range from being a Chance-Corrected Inter-Expert Agreement to being a Raw Inter-Expert Agreement, depending on its correction method.
  • It can range from being a Global Inter-Expert Agreement to being a Category-Specific Inter-Expert Agreement, depending on its aggregation level.
  • ...
• Examples:
  • Statistical Agreement Coefficients, such as:
    • Krippendorff's Alpha Measure for flexible agreement.
    • Fleiss' Kappa Measure for multi-rater nominal data.
    • Weighted Cohen's Kappa for ordinal disagreement.
  • NLG-Specific Agreement Measures, such as:
    • Translation Quality Agreement for MT evaluation.
    • Summary Quality Agreement for summarization task.
    • Dialogue Coherence Agreement for conversation assessment.
  • Domain-Specific Agreements, such as:
    • Medical Diagnosis Agreement for clinical annotation.
    • Legal Interpretation Agreement for legal text analysis.
  • ...
• Counter-Examples:
  • Crowd Agreement Measure, which measures non-expert consensus.
  • Automated Agreement Score, which lacks human judgment.
  • Simple Percent Agreement, which ignores chance correction.
• See: Evaluation Reliability Measure, Krippendorff's Alpha, Cohen's Kappa, Fleiss' Kappa, Inter-Rater Reliability, Agreement Coefficient, Annotation Quality Measure, Expert Annotation Process, Gold Standard Validation.

---