Named Entity Recognition from call transcripts: improving precision

Standard NER models trained on clean text lose up to 27 F1 points when applied to raw ASR output. For CCaaS operations running automated QA and CRM sync, that gap translates into missed account numbers, corrupted customer records, and unreliable coaching scores.