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Relevance 7/10Training ParadigmsAdvanced7 min read
Weak Supervision
Weak supervision uses imperfect labeling signals such as heuristics or programmatic rules.
Why it matters for annotators
It can reduce manual labeling load when high-quality direct labels are expensive.
Visual mental model
Heuristic labels -> denoise -> train baseline model.
Examples (bad vs good)
Scenario: Real annotation scenario involving Weak Supervision
Bad: Labeling quickly without applying project rubric.
Good: Applying rubric criteria, documenting rationale, and escalating uncertainty.
Common mistakes
- Skipping guideline details for edge cases.
- Applying inconsistent criteria across similar samples.
- Avoiding escalation even when uncertain.
Submission checklist
- Read the latest guideline update before each batch.
- Apply rubric dimensions explicitly in each decision.
- Escalate ambiguous items with concise rationale.