Expert Adjudication Process
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An Expert Adjudication Process is an evaluation adjudication process that resolves evaluation disagreements through professional experts applying domain expertise to achieve evaluation consensus.
- AKA: Expert Resolution Process, Professional Adjudication Workflow, Expert-Based Disagreement Resolution.
- Context:
- It can typically employ Domain Experts with professional credentials.
- It can typically follow MQM Framework guidelines for translation quality.
- It can often resolve Inter-Annotator Disagreements in high-stakes evaluations.
- It can often produce Gold Standard Annotations through expert consensus.
- It can utilize Structured Adjudication Protocols with clear criterion.
- It can integrate with WMT Evaluation Campaigns for translation assessment.
- It can generate Adjudication Reports documenting resolution rationale.
- It can range from being a Binary Expert Adjudication Process to being a Multi-Class Expert Adjudication Process, depending on its decision complexity.
- It can range from being a Single-Expert Adjudication Process to being a Panel Expert Adjudication Process, depending on its expert count.
- It can range from being a Synchronous Expert Adjudication Process to being an Asynchronous Expert Adjudication Process, depending on its temporal coordination.
- It can range from being a Blind Expert Adjudication Process to being an Open Expert Adjudication Process, depending on its information transparency.
- ...
- Examples:
- MQM Expert Adjudication Processes, such as:
- WMT Expert Adjudication Processes, such as:
- Domain-Specific Expert Adjudications, such as:
- ...
- Counter-Examples:
- Crowd Adjudication Process, which uses non-expert annotators.
- Automated Adjudication Process, which lacks human judgment.
- Majority Vote Resolution, which lacks expert deliberation.
- See: Evaluation Resolution Process, Inter-Expert Agreement Metric, Expert Annotation Task, NLG Gold Reference Dataset, MQM Framework, WMT Evaluation, Evaluation Protocol, Annotation Guidelines, Evaluation Reliability Metric.