PubMedQA supplies 273k+ biomedical QA instances that require reasoning over research abstracts to produce yes/no/maybe answers.
BioBERT: a pre-trained biomedical language repre- sentationmodelforbiomedicaltextmining
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CodeBERT pre-trains a bimodal model on code and text pairs plus unimodal data to achieve state-of-the-art results on natural language code search and code documentation generation.
ClinicalBERT applies BERT-style transformers to clinical notes and outperforms baselines on 30-day readmission prediction while revealing human-judged medical concept links.
Builds an improved PIO dataset and reports performance gains from domain-specific BERT embeddings plus ensembles in multi-label PIO classification.
citing papers explorer
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PubMedQA: A Dataset for Biomedical Research Question Answering
PubMedQA supplies 273k+ biomedical QA instances that require reasoning over research abstracts to produce yes/no/maybe answers.
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
CodeBERT pre-trains a bimodal model on code and text pairs plus unimodal data to achieve state-of-the-art results on natural language code search and code documentation generation.
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ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
ClinicalBERT applies BERT-style transformers to clinical notes and outperforms baselines on 30-day readmission prediction while revealing human-judged medical concept links.
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Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
Builds an improved PIO dataset and reports performance gains from domain-specific BERT embeddings plus ensembles in multi-label PIO classification.