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@@ -14,4 +14,4 @@ This is the JobSpanBERT 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 spanbert-base-cased checkpoint (which can also be found in our repository) on ~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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  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 spanbert-base-cased checkpoint (which can also be found in our repository) 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).