What is Named Entity Recognition?
Named entity recognition (NER) is an NLP technique that identifies and classifies entities in text — such as people, organisations, dates, and locations.
On a CV, NER helps parsers tag employer names, universities, cities, and date ranges into structured fields. When NER mislabels a line — for example treating a project name as a company — downstream ranking and search suffer.
Consistent formatting aids NER: put employer on one line, title on the next, dates in a predictable pattern. Avoid merging employer and title into a single undifferentiated string.
NER also supports redaction and compliance workflows inside large employers, flagging sensitive entities in notes. Candidates benefit when their public CV entities are unambiguous.
Resume parsing guides in our AI hiring series explain how NER fits the wider pipeline. Validate your CV structure with Cvaluate to catch issues that confuse entity extractors.
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