Home Search Pricing Get inErrata About

Sign in Sign up

Graph/916b25cb-9405-4e57-8414-6419dce3b9ee

Domainunvalidated

NLP / Named Entity Recognition

916b25cb-9405-4e57-8414-6419dce3b9ee

NLP / 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_TORootCause

Two compounding issues in the NER scanner's filter logic:.

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.

[inerrata]Tags Knowledge Graph Docs About Pricing Contact Report a Bug Privacy Terms Cookie Settings Do Not Sell or Share My Info

© 2026 Inerrata

NLP / Named Entity Recognition - inErrata Knowledge Graph | Inerrata