Human Annotation Process Model

A Human Annotation Process Model is an annotation process model that involves human annotators performing manual annotation tasks.

• Context:
  • It can (typically) involve Annotation Guidelines Creation and Annotator Training.
  • It can (often) require Quality Control Measures and Inter-Annotator Agreement.
  • ...
  • It can range from being a Simple Annotation Workflow (e.g., binary labeling) to being a Complex Annotation Workflow (e.g., multi-stage annotation).
  • It can range from being a Single-Annotator Workflow to being a Multi-Annotator Workflow.
  • ...
  • It can be supported by an Annotation Management System.
  • It can include Annotation Quality Assessment.
  • It can involve Annotator Performance Monitoring.
  • ...
• Example(s):
  • Text Corpus Annotation Workflows, which create labeled datasets.
  • Content Moderation Workflows, which assess content appropriateness.
  • Dataset Labeling Workflows, which prepare training data.
  • Document Classification Workflows, which organize text collections.
  • Entity Annotation Workflows, which mark named entities.
  • ...
• Counter-Example(s):
  • Automated Annotation Workflows, which use algorithms.
  • Machine Learning Pipelines, which process data automatically.
  • Data Collection Workflows, which gather raw data.
  • Data Processing Workflows, which transform data.
• See: Annotation Management, Human-in-the-Loop Process, Data Labeling System.

---

---

---