Corpus ID: 214802435

Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion

@article{Hautte2020LeveragingTI,
  title={Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion},
  author={Jeroen Van Hautte and Vincent Schelstraete and Mikael Wornoo},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.02814}
}
Machine learning plays an ever-bigger part in online recruitment, powering intelligent matchmaking and job recommendations across many of the world's largest job platforms. However, the main text is rarely enough to fully understand a job posting: more often than not, much of the required information is condensed into the job title. Several organised efforts have been made to map job titles onto a hand-made knowledge base as to provide this information, but these only cover around 60\% of… Expand
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