Create README.md

README.md

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+# CORe Model - BioBERT + Clinical Outcome Pre-Training
+
+## Model description
+
+The CORe (_Clinical Outcome Representations_) model is introduced in the paper [Clinical Outcome Predictions from Admission Notes using Self-Supervised Knowledge Integration](https://www.aclweb.org/anthology/2021.eacl-main.75.pdf).
+It is based on BioBERT and further pre-trained on clinical notes, disease descriptions and medical articles with a specialised _Clinical Outcome Pre-Training_ objective.
+
+#### How to use
+
+You can load the model via the transformers library:
+```
+from transformers import AutoTokenizer, AutoModel
+tokenizer = AutoTokenizer.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
+model = AutoModel.from_pretrained("bvanaken/CORe-clinical-outcome-biobert-v1")
+```
+
+
+### BibTeX entry and citation info
+
+```bibtex
+@inproceedings{vanaken21,
+  author    = {Betty van Aken and
+               Jens-Michalis Papaioannou and
+               Manuel Mayrdorfer and
+               Klemens Budde and
+               Felix A. Gers and
+               Alexander Löser},
+  title     = {Clinical Outcome Prediction from Admission Notes using Self-Supervised
+               Knowledge Integration},
+  booktitle = {Proceedings of the 16th Conference of the European Chapter of the
+               Association for Computational Linguistics: Main Volume, {EACL} 2021,
+               Online, April 19 - 23, 2021},
+  publisher = {Association for Computational Linguistics},
+  year      = {2021},
+}
+```