论文标题
Scisight：将刻面导航和研究小组检测结合在一起，以进行COVID-19
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
论文作者
论文摘要
COVID-19大流行激发了前所未有的动员科学家，产生了大量论文，使研究人员很难保持跟踪和探索新的方向。搜索引擎专为有针对性的查询而设计，而不是为了发现跨语料库的连接。在本文中，我们介绍了Scisight，这是一种探索性搜索的COVID-19研究的系统，该研究整合了两个关键功能：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，患者结果）；其次，将文本和网络信息结合在一起以搜索和可视化研究人员及其联系。到目前为止，Scisight已为$ 15K $的用户提供超过$ 42K $的页面浏览量和$ 13 \％$ $的回报。
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.
