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🔍 Know-Corona

NLP/state-of-the-art language model (BERT) based Question & Answering pipeline to answer all task questions after analyzing articles abstract of COVID-19, SARS-CoV-2

GitHub stars ReadTheDoc PyPI - Downloads GitHub issues GitHub license

Objectives • Approach • References

Objectives

  • In response to the COVID-19 pandemic, the White House and a coalition of leading research groups have prepared the COVID-19 Open Research Dataset (CORD-19)
  • CORD-19 is a resource of over 52,000 scholarly articles, including over 41,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses
  • To develop NLP based solution that can help the medical community to answer high priority scientific questions

    • Approach

  • Leveraged BM25 Rank function with Pre-trained BioBERT Q&A Model (SQuAD 2.0) from Transformers

    • References

  • https://huggingface.co/models
  • https://pypi.org/project/rank-bm25/
  • https://github.com/gitname/react-gh-pages
  • https://dev.to/yuribenjamin/how-to-deploy-react-app-in-github-pages-2a1f
    •