Annotated Job Ads with Named Entity Recognition

Felix Stollenwerk, Niklas Fastlund, Anna Nyqvist, Joey Öhman
10/18/2023
cs.CL

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Abstract

We have trained a named entity recognition (NER) model that screens Swedish job ads for different kinds of useful information (e.g. skills required from a job seeker). It was obtained by fine-tuning KB-BERT. The biggest challenge we faced was the creation of a labelled dataset, which required manual annotation. This paper gives an overview of the methods we employed to make the annotation process more efficient and to ensure high quality data. We also report on the performance of the resulting model.

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Cite this paper

@article{stollenwerk2023annotated,
  title  = {Annotated Job Ads with Named Entity Recognition},
  author = {Felix Stollenwerk and Niklas Fastlund and Anna Nyqvist and Joey Öhman},
  year   = {2023},
  eprint = {2310.11769},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.11769v1}
}

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