metadata

language:
  - da
tags:
  - job postings
  - DaJobBERT

JobBERT

This is the DaJobBERT model from:

Mike Zhang, Kristian Nørgaard Jensen, and Barbara Plank. Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning. To appear at the 13th Edition of its Language Resources and Evaluation Conference (LREC). 2022.

This model is continuously pre-trained from a dabert-base-cased: https://huggingface.co/Maltehb/danish-bert-botxo checkpoint on ~24.5M Danish sentences from job postings. More information can be found in the paper (which should be released when the LREC proceedings are online).

If you use this model, please cite the following paper:

@misc{zhang2022kompetencer,
  doi = {10.48550/ARXIV.2205.01381},
  url = {https://arxiv.org/abs/2205.01381},
  author = {Zhang, Mike and Jensen, Kristian Nørgaard and Plank, Barbara},
  keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}