🔍 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

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