Update README.md

README.md

@@ -12,7 +12,7 @@ MeDa-We was trained on a Danish medical corpus of 123M tokens. The word embeddin
 
 The embeddings were trained for 10 epochs using a window size of 5 and 10 negative samples.
 
-The development of the corpus and word embeddings is described further in our [paper](https://openreview.net/forum?id=cc9USd2ec-). 
+The development of the corpus and word embeddings is described further in our [paper](https://aclanthology.org/2023.nodalida-1.31/). 
 
 We also trained a transformer model on the developed corpus which can be found [here](https://huggingface.co/jannikskytt/MeDa-Bert).