论文标题
迅速为Covid-19开放研究数据集的神经搜索引擎快速部署：初步思想和经验教训
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
论文作者
论文摘要
我们提出了神经Covidex，这是一种利用最新神经排名体系结构的搜索引擎，以提供对Allen AI研究所策划的COVID-19开放研究数据集的信息访问。该Web应用程序是我们在过去几周中开发的一系列工具的一部分，以帮助领域专家应对持续的全球大流行。我们希望改善科学文献的信息访问能力可以为循证决策和洞察力产生提供信息。本文描述了我们的最初努力，并对我们在此过程中学到的教训提供了一些想法。
We present the Neural Covidex, a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. This web application exists as part of a suite of tools that we have developed over the past few weeks to help domain experts tackle the ongoing global pandemic. We hope that improved information access capabilities to the scientific literature can inform evidence-based decision making and insight generation. This paper describes our initial efforts and offers a few thoughts about lessons we have learned along the way.
