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--- |
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language: |
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- en |
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tags: |
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- JobBERT |
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- job postings |
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--- |
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# JobBERT |
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This is the JobBERT model from: |
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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. |
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This model is continuously pre-trained from a `bert-base-cased` checkpoint on ~3.2M sentences from job postings. More information can be found in the paper (which should be released when the NAACL proceedings are online). |
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If you use this model, please cite the following paper: |
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``` |
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@misc{https://doi.org/10.48550/arxiv.2204.12811, |
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doi = {10.48550/ARXIV.2204.12811}, |
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url = {https://arxiv.org/abs/2204.12811}, |
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author = {Zhang, Mike and Jensen, Kristian Nørgaard and Sonniks, Sif Dam and Plank, Barbara}, |
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keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences}, |
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title = {SkillSpan: Hard and Soft Skill Extraction from English Job Postings}, |
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publisher = {arXiv}, |
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year = {2022}, |
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copyright = {arXiv.org perpetual, non-exclusive license} |
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} |
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``` |
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