综述NLP在招聘到员工管理中的应用潜力与挑战
Natural Language Processing for Human Resources: A Survey
- 梳理信息抽取、文本分类等NLP基础任务在HR中的应用
- 揭示推荐与语言生成等下游任务的实现路径
- 适合关注AI+HR融合的研究者与从业者阅读
自然语言处理（NLP）的进步有望重塑人力资源流程，涵盖从招聘到员工管理的各个环节。尽管近年来NLP突破引发工业界广泛关注，但对其在人力资源领域全面应用的系统性综述仍显不足。本文旨在揭示研究者与实践者可利用NLP变革人力管理的机遇。我们分析了信息抽取、文本分类等核心基础任务及其在推荐系统、语言生成等下游应用中的作用，同时讨论了相关的伦理问题。此外，本文识别出当前研究的空白，并呼吁未来工作探索更整体的方法，以实现该领域的更广泛目标。
原文摘要 · Abstract (English)
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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