Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset

Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin


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.
Anthology ID:
2020.nlpcovid19-acl.2
Volume:
Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020
Month:
July
Year:
2020
Address:
Online
Venue:
NLP-COVID19
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
Language:
URL:
https://aclanthology.org/2020.nlpcovid19-acl.2
DOI:
Bibkey:
Cite (ACL):
Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, and Jimmy Lin. 2020. Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset. In Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020, Online. Association for Computational Linguistics.
Cite (Informal):
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset (Zhang et al., NLP-COVID19 2020)
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PDF:
https://aclanthology.org/2020.nlpcovid19-acl.2.pdf
Data
CORD-19