论文标题
COVID-SEE：COVID-19相关研究的科学证据探索者
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
论文作者
论文摘要
我们介绍了Covid-See，这是基于信息探索概念的医学文献发现系统，该系统建立在几种不同的文本分析和自然语言处理方法的基础上，以在出版物中构建和组织信息，并通过提供视觉概述，以提供视觉概述，以支持对集合的探索来识别关键关键文章。我们通过Covid-19文献开发了该系统，以帮助医疗专业人员和研究人员探索文献证据，并提高相关信息的可发现性。 COVID-SEE可在http://covid-see.com上获得。
We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in publications, and augments search by providing a visual overview supporting exploration of a collection to identify key articles of interest. We developed this system over COVID-19 literature to help medical professionals and researchers explore the literature evidence, and improve findability of relevant information. COVID-SEE is available at http://covid-see.com.
