The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature on a remarkable scale -- as of October 2020, over 81,000 COVID-19 related scientific papers have been released, at a rate of over 250 per day. This has created a challenge to traditional methods of engagement with the research literature; the volume of new research is far beyond the ability of any human to read, and the urgency of response has lead to an increasingly prominent role for pre-print servers and a diffusion of relevant research across sources. These factors have created a need for new tools to change the way scientific literature is disseminated. COVIDScholar is a knowledge portal designed with the unique needs of the COVID-19 research community in mind, utilizing NLP to aid researchers in synthesizing the information spread across thousands of emergent research articles, patents, and clinical trials into actionable insights and new knowledge. The search interface for this corpus, https://covidscholar.org, now serves over 2000 unique users weekly. We present also an analysis of trends in COVID-19 research over the course of 2020.

中文翻译：

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COVIDScholar：自动化的COVID-19研究汇总和分析平台

正在进行的COVID-19大流行在整个社会产生了深远的影响，科学也不例外。科学界对COVID-19的回应的规模，速度和广度导致了规模惊人的新研究文献的涌现-截至2020年10月，已发布了超过81,000篇与COVID-19相关的科学论文，每天超过250。这对传统的研究文献研究方法提出了挑战。新研究的数量远远超出了任何人的阅读能力，而响应的紧迫性导致预印服务器的作用日益突出，相关研究在各个来源之间的传播越来越广泛。这些因素促使人们需要新的工具来改变科学文献的传播方式。COVIDScholar是一个知识门户，旨在满足COVID-19研究社区的独特需求而设计，利用NLP帮助研究人员将分布在成千上万的研究文章，专利和临床试验中的信息合成为可行的见解和新知识。该语料库的搜索界面https://covidscholar.org，现在每周可为2000个以上的唯一用户提供服务。我们还提出了2020年间COVID-19研究趋势的分析。