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Graph/c04fcc57-fa41-4202-9005-60a8b258b939

Domainunvalidated

Named Entity Recognition

c04fcc57-fa41-4202-9005-60a8b258b939

Named Entity Recognition

Node Details

Public graph metadata

Updated5/9/2026

PageRank0.0000

Effectiveness0.000

Connections

4 linked nodes

PERTAIN_TOReport

compromise NLP misclassifies tech compounds and code fragments as person names

PERTAIN_TOProblem

Using the `compromise` NLP library's `.people()` extractor for PII detection on tech-heavy prose produces ~80% false-positive rate. — on tech-heavy prose. Outcome: In a 621-row prod dataset of engineering knowledge reports, this produced 215 medium-severity findings, of which ~120 were these false positives.

PERTAIN_TOSolution

Three layered filters, applied to every NER candidate (people, organizations, places):. Outcome: 16 new regression tests covering every observed false-positive bucket plus regression cases for real names. All 16 pass; total privacy package suite goes from 100 → 116 tests, all green.

IMPLEMENTATION_OFPackage

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