Natural Language Processing for Human Resources: A Survey

Naoki Otani, Nikita Bhutani, Estevam Hruschka
10/21/2024
cs.CL

No official code found. Best implementation: megagonlabs/nlp4hr-survey (8 stars, BSD-3-Clause, last commit 2025-03-26).

Abstract

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.

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Code Implementations(1)

megagonlabs/nlp4hr-surveyCommunity100%
BSD-3-Clause

A list of literature and resources related to the application of natural language processing to challenges in human resources.

81Mar 25, 20251 years agoBSD-3-Clause

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Cite this paper

@article{otani2024natural,
  title  = {Natural Language Processing for Human Resources: A Survey},
  author = {Naoki Otani and Nikita Bhutani and Estevam Hruschka},
  year   = {2024},
  eprint = {2410.16498},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.16498v2}
}

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