Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 
 This is the JobBERT model from:
 
-Mike Zhang, Kristian N{\o}rgaard Jensen, Sif Dam Sonniks, and Barbara Plank. __SkillSpan: Hard and Soft Skill Extraction from Job Postings__. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
+Mike Zhang, Kristian Nørgaard Jensen, Sif Dam Sonniks, and Barbara Plank. __SkillSpan: Hard and Soft Skill Extraction from Job Postings__. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
 
 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). 
 
@@ -20,7 +20,7 @@ If you use this model, please cite the following paper:
 @inproceedings{zhang-etal-2022-skillspan,
     title = "{S}kill{S}pan: Hard and Soft Skill Extraction from {E}nglish Job Postings",
     author = "Zhang, Mike  and
-      Jensen, Kristian  and
+      Jensen, Kristian N{\o}rgaard  and
       Sonniks, Sif  and
       Plank, Barbara",
     booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",