Update README.md

README.md

@@ -8,3 +8,18 @@ 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-) 
+
+### Citing
+If you find our model helps, please consider citing this :)
+```
+@article{li2023comparative,
+  title={A comparative study of pretrained language models for long clinical text},
+  author={Li, Yikuan and Wehbe, Ramsey M and Ahmad, Faraz S and Wang, Hanyin and Luo, Yuan},
+  journal={Journal of the American Medical Informatics Association},
+  volume={30},
+  number={2},
+  pages={340--347},
+  year={2023},
+  publisher={Oxford University Press}
+}
+```