BlueBert Base, Uncased, PubMed and MIMIC III Model description A BERT model pre trained on PubMed abstracts and clinical notes (MIMIC III). Intended uses & limitations How to use Please see https://github.com/ncbi nlp/bluebert Training data We provide preprocessed PubMed texts that were used to pre train the BlueBERT models. The corpus contains ~4000M words extracted from the PubMed ASCII code version. Pre trained model: https://huggingface.co/bert base uncased Training procedure lowercasing the text removing speical chars \x00 \x7F tokenizing the text using the NLTK Treebank tokenizer Below is a code snippet for more details. BibTeX entry and citation info Acknowledgments This work was supported by the Intramural Research Programs of the National Institutes of Health, National Library of Medicine and Clinical Center. This work was supported by the National Library of Medicine of the National Institutes of Health under award number 4R00LM013001 01. We are also grateful to the authors of BERT and ELMo to make the data and codes publicly available. We would like to thank Dr Sun Kim for processing the PubMed texts. Disclaimer This tool shows the results of research conducted in the Co…
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