Why AI Resume Parsing Still Fails Your Best Candidates: A Technical Deep Dive Into NLP Limitations
Field-level accuracy for skill extraction in production resume parsers ranges from 0.75 to 0.85, while basic fields like name and email hit 0.99 or higher. That gap is where your best candidates disappear. Every downstream matching decision inherits the error rate of the weakest extracted field.