Mike Zhang
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Update README.md
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README.md
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@@ -16,4 +16,19 @@ Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, and Barbara Plank. __Ski
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This model is pre-trained from scratch on the BookCorpus and WikiData. To pre-train from scratch we use the code from Splinter: https://github.com/oriram/splinter.
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On our job posting dataset, we found that our `spanbert-base-cased` model works better than the original.
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More information can be found in the paper (which should be released when the NAACL proceedings are online).
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This model is pre-trained from scratch on the BookCorpus and WikiData. To pre-train from scratch we use the code from Splinter: https://github.com/oriram/splinter.
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On our job posting dataset, we found that our `spanbert-base-cased` model works better than the original.
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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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