Active Learning Guided Annotation

via “active learning with model-assisted annotation and uncertainty scoring”

Active learning annotation tool by the spaCy team.

Unique: Treats active learning as a UI/UX feature rather than a backend algorithm—predictions are rendered in the annotation interface for human validation, and uncertainty scoring is used to prioritize task ordering. This human-in-the-loop approach differs from fully automated active learning systems that retrain models without annotation.

vs others: Integrates model predictions directly into the annotation UI for human validation, reducing cognitive load compared to tools that show predictions separately or require manual model integration, though the uncertainty sampling algorithm itself is proprietary and not customizable.