SciFive: a text-to-text transformer model for biomedical literature

Biobert: a pre-trained biomedical language representation model for biomedical text mining

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Transfer learning in biomedical natural language processing: An evaluation of BERT and elmo on ten benchmarking datasets

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Exploring the limits of transfer learning with a unified text-to-text transformer

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Overview of biocreative ii gene mention recognition

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The ddi corpus: An annotated corpus with pharmacological substances and drug–drug interactions

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The species and organisms resources for fast and accurate identification of taxonomic names in text

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Automatic semantic classification of scientific literature according to the hallmarks of cancer

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The chemdner corpus of chemicals and drugs and its annotation principles

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An overview of the bioasq large-scale biomedical semantic indexing and question answering competition

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Biocreative v cdr task corpus: a resource for chemical disease relation extraction

Li, J., Sun, Y., Johnson, R., Sciaky, D., Wei, C.-H., Leaman, R., Davis, A. P., Mattingly, C., Wiegers, T., and lu, Z. (2016) · 2016

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Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths

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BERT: pre-training of deep bidirectional transformers for language understanding

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Devlin, J., Chang, M., Lee, K., and Toutanova, K. (2018) · 2018

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Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing

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Lessons from natural language inference in the clinical domain

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Clinical concept extraction with contextual word embedding

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Zhu, H., Paschalidis, I. C., and Tahmasebi, A. (2018) · 2018