Increasing number of COVID-19 research literatures cause new challenges in
effective literature screening and COVID-19 domain knowledge aware Information
Retrieval. To tackle the challenges, we demonstrate two tasks along
withsolutions, COVID-19 literature retrieval, and question answering. COVID-19
literature retrieval task screens matching COVID-19 literature documents for
textual user query, and COVID-19 question answering task predicts proper text
fragments from text corpus as the answer of specific COVID-19 related
questions. Based on transformer neural network, we provided solutions to
implement the tasks on CORD-19 dataset, we display some examples to show the
effectiveness of our proposed solutions