Natural Language Processing for Human Resources: A Survey
It provides a systematic review for researchers and practitioners interested in applying NLP to HR processes like recruitment and employee management.
This survey paper addresses the lack of a comprehensive overview of how Natural Language Processing (NLP) can be applied across human resources (HR) activities, analyzing key tasks and their roles in downstream applications while discussing ethical concerns and research gaps.
Advances in Natural Language Processing (NLP) have the potential to transform HR processes, from recruitment to employee management. While recent breakthroughs in NLP have generated significant interest in its industrial applications, a comprehensive overview of how NLP can be applied across HR activities is still lacking. This paper discovers opportunities for researchers and practitioners to harness NLP's transformative potential in this domain. We analyze key fundamental tasks such as information extraction and text classification, and their roles in downstream applications like recommendation and language generation, while also discussing ethical concerns. Additionally, we identify gaps in current research and encourage future work to explore holistic approaches for achieving broader objectives in this field.