Summarization systems aim to provide a condensed version of a longer piece of text. The motivation is to allow readers to derive the main points of a document without expending as much effort in reading or to provide a quick overview of a document for the reader to decide whether or not to invest more time. Two systems in Table 2 incorporate summarization components: Vespa CORD-19 Search (Row S30), which generates paper-level summaries, and CAiRE-Covid [83] (Row S29), a QA system that generates multi-document summaries across answering spans. The CAiRE-Covid system generates both extractive and abstractive summaries by aggregating information across answering spans for an input query, providing a quick, high-level overview of current research.