Update README.md

README.md

@@ -21,13 +21,11 @@ This model is useful for NLP tasks in the clinical domain that require identific
 If you use this model, please consider citing the following paper:
 
 ```bibtex
-@misc{https://doi.org/10.48550/arxiv.2302.04725,
-  doi = {10.48550/ARXIV.2302.04725},
-  url = {https://arxiv.org/abs/2302.04725},
-  author = {Rohanian, Omid and Nouriborji, Mohammadmahdi and Jauncey, Hannah and Kouchaki, Samaneh and Group, ISARIC Clinical Characterisation and Clifton, Lei and Merson, Laura and Clifton, David A.},
-  keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences, I.2.7, 68T50},
-  title = {Lightweight Transformers for Clinical Natural Language Processing},
-  publisher = {arXiv},
-  year = {2023},
-  copyright = {arXiv.org perpetual, non-exclusive license}
+@article{rohanian2023lightweight,
+  title={Lightweight transformers for clinical natural language processing},
+  author={Rohanian, Omid and Nouriborji, Mohammadmahdi and Jauncey, Hannah and Kouchaki, Samaneh and Nooralahzadeh, Farhad and Clifton, Lei and Merson, Laura and Clifton, David A and ISARIC Clinical Characterisation Group and others},
+  journal={Natural Language Engineering},
+  pages={1--28},
+  year={2023},
+  publisher={Cambridge University Press}
 }