# Natural Language Processing for Human Resources: A Survey

**Authors:** Naoki Otani, Nikita Bhutani, Estevam Hruschka  
**arXiv:** [2410.16498](https://arxiv.org/abs/2410.16498)  
**Date:** 2024-10-21  
**Summary page:** https://www.summarizepaper.com/en/paper/2410.16498v1/

## Key points

- Authors Naoki Otani, Nikita Bhutani, and Estevam Hruschka explore the intersection of human resources (HR) and natural language processing (NLP).
- The HR domain offers a wide range of tasks that can benefit from NLP techniques.
- Recent advancements in NLP have generated interest in its application within the HR industry to address challenges like resource acquisition difficulties and problem complexity.
- Unique challenges in the HR domain push the boundaries of NLP research.
- Specific sub-tasks such as skill extraction are crucial for achieving broader objectives like job matching.
- The survey identifies promising opportunities for leveraging NLP in HR and proposes directions for future exploration.
- The paper serves as a valuable resource for both NLP researchers and practitioners seeking to address complex HR-related issues through natural language processing.

## Summary

In their paper titled "Natural Language Processing for Human Resources: A Survey," authors Naoki Otani, Nikita Bhutani, and Estevam Hruschka explore the intersection of human resources (HR) and natural language processing (NLP). The HR domain encompasses a wide range of tasks that can benefit from NLP techniques. Recent advancements in NLP have sparked interest in its application within the HR industry, offering solutions to challenges such as resource acquisition difficulties and problem complexity. The authors highlight the unique challenges present in the HR domain that push the boundaries of NLP research. By providing an overview of key HR tasks through an NLP lens, they demonstrate how specific sub-tasks like skill extraction play a crucial role in achieving broader objectives such as job matching. Through their survey, they not only identify promising opportunities for leveraging NLP in HR but also propose directions for future exploration in this evolving field. Overall, this comprehensive survey serves as a valuable resource for both NLP researchers and practitioners looking to harness the power of natural language processing in addressing complex HR-related issues. With a focus on practical applications and theoretical advancements, this paper sets the stage for further innovation at the intersection of HR and NLP.
