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Relevance 8/10Text and NLPIntermediate7 min read
Named Entity Recognition (NER)
NER labels spans of text as people, organizations, locations, and other entity types.
Why it matters for annotators
NER projects are common and require strict boundary consistency.
Visual mental model
Sentence -> span boundaries -> entity type.
Examples (bad vs good)
Scenario: Real annotation scenario involving Named Entity Recognition (NER)
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.