Intent And Entity Extraction With Confidence Scoring

via “context-aware confidence scoring with entity-type-specific thresholds”

Microsoft's PII detection and anonymization SDK.

Unique: Combines recognizer agreement (multiple detectors voting) with context analysis (surrounding text) to produce confidence scores, and supports per-entity-type thresholds for fine-grained control. This multi-signal approach reduces false positives better than single-recognizer confidence scores, and per-type thresholds enable risk-based decision making (e.g., stricter thresholds for high-risk entities like SSNs).

vs others: More nuanced than binary detection (found/not found) because confidence scores enable threshold tuning, and more practical than uniform thresholds because per-type thresholds reflect domain-specific risk profiles