Update README.md

README.md

@@ -15,6 +15,10 @@ __ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
 
 Mike Zhang, Rob van der Goot, and Barbara Plank. In ACL (2023).
 
+We introduce a language model called ESCOXLM-R, based on XLM-r (large), which uses domain-adaptive pre-training on the European Skills, Competences, Qualifications and Occupations
+(ESCO) taxonomy, covering 27 languages. The pre-training objectives for ESCOXLM-R include dynamic masked language modeling and a novel additional objective for inducing multilingual taxonomical ESCO relations (see paper for more details).
+We comprehensively evaluate the performance of ESCOXLM-R on 6 sequence labeling and 3 classification tasks in 4 languages and find that it achieves state-of-the-art results on 6 out of 9 datasets.
+
 If you use this work please cite the following:
 
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