为COVID-19开放研究数据集快速部署神经搜索引擎：初步想法和经验教训
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
摘要：
我们介绍了Neural Covidex，这是一个搜索引擎，它利用最新的神经排名架构，为艾伦人工智能研究所策划的COVID-19开放研究数据集提供信息访问。这个网络应用程序是我们在过去几周开发的一套工具的一部分，以帮助领域专家应对正在进行的全球流行病。我们希望，科学文献信息获取能力的提高可以为基于证据的决策和洞察力的产生提供信息。本文描述了我们最初的努力，并提供了一些关于我们在此过程中学到的经验教训的想法。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
