Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
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Abstract (arXiv)
Over the course of the recent decade, tremendous progress has been made in the areas of machine learning and natural language processing, which opened up vast areas of potential application use cases, including hiring and human resource management. We review the use cases for text analytics in the realm of human resources/personnel management, including actually realized as well as potential but not yet implemented ones, and we analyze the opportunities and risks of these.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 71 references that are in the map. First posted on arXiv 13 May 2024.
Builds on
8 of 71 references.
References · 8
- 201850 Years of Test (Un)fairness: Lessons for Machine Learningcited by 101
- 2022SkillSpan: Hard and Soft Skill Extraction from English Job Postingscited by 43
- 2022Modeling Two-Way Selection Preference for Person-Job Fitcited by 18
- 2023A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analyticscited by 18
- 2020Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Modelscited by 11
- 2022Multilingual Detection of Personal Employment Status on Twittercited by 8
- 2022A Few-shot Approach to Resume Information Extraction via Promptscited by 4
- 2022Towards Job-Transition-Tag Graph for a Better Job Title Representation Learningcited by 3
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Citing papers per year: 2024: 1.
1 paper.
- 2024Natural Language Processing for Human Resources: A Surveycited by 10
- 2024Natural Language Processing for Human Resources: A Survey21 Oct 2024