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@@ -23,14 +23,12 @@ In this model, the size of the hidden dimension and the embedding layer are both
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  If you use this model, please consider citing the following paper:
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  ```bibtex
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- @misc{https://doi.org/10.48550/arxiv.2302.04725,
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- doi = {10.48550/ARXIV.2302.04725},
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- url = {https://arxiv.org/abs/2302.04725},
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- 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.},
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- 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},
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- title = {Lightweight Transformers for Clinical Natural Language Processing},
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- publisher = {arXiv},
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- year = {2023},
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- copyright = {arXiv.org perpetual, non-exclusive license}
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  }
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  ```
 
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  If you use this model, please consider citing the following paper:
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  ```bibtex
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+ @article{rohanian2023lightweight,
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+ title={Lightweight transformers for clinical natural language processing},
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+ 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},
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+ journal={Natural Language Engineering},
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+ pages={1--28},
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+ year={2023},
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+ publisher={Cambridge University Press}
 
 
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  }
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  ```