The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions. Search engines are designed for targeted queries, not for discovery of connections across a corpus. In this paper, we present SciSight, a system for exploratory search of COVID-19 research integrating two key capabilities: first, exploring associations between biomedical facets automatically extracted from papers (e.g., genes, drugs, diseases, patient outcomes); second, combining textual and network information to search and visualize groups of researchers and their ties. SciSight has so far served over 15K users with over 42K page views and 13% returns.

中文翻译：

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SciSight：将多面导航和研究组检测相结合以进行COVID-19探索性科学搜索

COVID-19大流行引发了科学家的空前动员，产生了大量论文，使研究人员难以追踪和探索新的方向。搜索引擎旨在用于有针对性的查询，而不是用于发现整个语料库中的连接。在本文中，我们介绍了SciSight，它是一种COVID-19研究的探索性搜索系统，具有两个关键功能：首先，探索从论文中自动提取的生物医学方面之间的关联（例如，基因，药物，疾病，患者预后）；第二，结合文本和网络信息来搜索和可视化研究人员组及其联系。到目前为止，SciSight已为超过15,000名用户提供了超过42,000次页面浏览和13％的回报率。