@inproceedings{zhang-etal-2020-rapidly,
    title = "Rapidly Deploying a Neural Search Engine for the {COVID-19} {Open} {Research} {Dataset}",
    author = "Zhang, Edwin  and
      Gupta, Nikhil  and
      Nogueira, Rodrigo  and
      Cho, Kyunghyun  and
      Lin, Jimmy",
    editor = "Verspoor, Karin  and
      Cohen, Kevin Bretonnel  and
      Dredze, Mark  and
      Ferrara, Emilio  and
      May, Jonathan  and
      Munro, Robert  and
      Paris, Cecile  and
      Wallace, Byron",
    booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID-19} at {ACL} 2020",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.nlpcovid19-acl.2",
    abstract = "The Neural Covidex is a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset (CORD-19) curated by the Allen Institute for AI. It exists as part of a suite of tools we have developed 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.",
}