Update README.md

README.md

@@ -21,13 +21,16 @@ digital collections, and supervised pre-training on two datasets
 with contemporary German text, [conll2003](https://huggingface.co/models?dataset=dataset:conll2003) 
 and [germeval_14](https://huggingface.co/models?dataset=dataset:germeval_14).
 
+For further details, have a look at [sbb_ner](https://github.com/qurator-spk/sbb_ner) on GitHub.
+
 # Results
 
-In a 5-fold cross validation with different historical German NER corpora, 
-the model obtained an F1-Score of **84.3**±1.1%. 
+In a 5-fold cross validation with different historical German NER corpora 
+(see our *KONVENS2019* [paper](https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_4.pdf)), 
+the model obtained an F1-Score of **84.3**±1.1%.
 
-For details, see our *KONVENS2019* [paper](https://corpora.linguistik.uni-erlangen.de/data/konvens/proceedings/papers/KONVENS2019_paper_4.pdf) 
-or have a look at [sbb_ner](https://github.com/qurator-spk/sbb_ner) on GitHub.
+In the *CLEF-HIPE-2020* Shared Task ([paper](http://ceur-ws.org/Vol-2696/paper_255.pdf)), 
+the model ranked 2nd of 13 systems for the German coarse NER task.
 
 # Weights
 We provide model weights for PyTorch.