metadata
language:
- en
tags:
- JobBERT
- job postings
JobBERT
This is the JobBERT model from:
Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, and Barbara Plank. SkillSpan: Hard and Soft Skill Extraction from Job Postings. To appear at the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2022.
This model is continuously pre-trained from a bert-base-cased
checkpoint on ~2M sentences from job postings. More information can be found in the paper (which should be released when the NAACL proceedings are online).