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We present CAiRE-COVID, a real-time question answering (QA) andmulti-document summarization system, which won one of the 10 tasks in theKaggle COVID-19 Open Research Dataset Challenge, judged by medical experts. Oursystem aims to tackle the recent challenge of mining the numerous scientificarticles being published on COVID-19 by answering high priority questions fromthe community and summarizing salient question-related information. It combinesinformation extraction with state-of-the-art QA and query-focusedmulti-document summarization techniques, selecting and highlighting evidencesnippets from existing literature given a query. We also propose query-focusedabstractive and extractive multi-document summarization methods, to providemore relevant information related to the question. We further conductquantitative experiments that show consistent improvements on various metricsfor each module. We have launched our website CAiRE-COVID for broader use bythe medical community, and have open-sourced the code for our system, tobootstrap further study by other researches.

CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management