Detect Person Names in Text: Part 1 (Results)

Jan ProcházkaDeep Learning, Personal Data, Whitepaper

Detect Person Names in Text: Part 1 (Results)

Detecting people’s names is part and parcel of PII discovery. Traditional techniques like regexp and keywords don’t work because the set of all names is too varied. How do open-source Named Entity Recognition (NER) engines compare, and can we do better? Part 1 deals with NER results and benchmarks, while Part 2 discusses technical neural network details. Or download the … Read More

Detect Person Names in Text: Part 2 (Technical)

Jan ProcházkaDeep Learning, Personal Data, Whitepaper

Detect Person Names in Text: Part 2 (Technical)

In Detect Person Names in Text: Part 1 (Results), we benchmarked our new named entity recognizer (NER) against popular open source alternatives, such as Stanford NER, Stanza and SpaCy. Today we dig a little deeper into the NER architecture and technical details. Key Takeaways Detecting person names in text at scale relies on advanced Named Entity Recognition (NER) models, often … Read More