Abstract:
"Current approaches frequently suffer from high computational costs and limited applicability
across different domains. While existing Named Entity Recognition (NER) models within
resumes provide excellent accuracy when determining the classification of each entity. To
overcome these obstacles, research will be done in this paper to identify what model
architecture would increase accuracy while lowering resource consumption."
