mlsanityData to 7 Oct 2026

Natural Language Processing for Human Resources: A Survey

arXiv 2410.16498 ↗First posted 21 Oct 2024cs.CLcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 71 of its 179 references that are in the map. First posted on arXiv 21 Oct 2024.

Builds on

71 of 179 references.

References · 71

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38 more
  1. 2020Text Segmentation by Cross Segment Attentioncited by 54
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50 most cited of 71 All 71 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 5.

9 papers.