Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

• URL: http://arxiv.org/abs/2007.07846v1
• Date: Tue, 14 Jul 2020 16:26:01 GMT
• Title: Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
• Authors: Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin
• Abstract summary: Covidex is a search engine that exploits the latest neural ranking models. It provides access to the COVID-19 Open Research dataset curated by the Allen Institute for AI.
• Score: 87.47567807116204
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. Our system has been online and serving users since late March 2020. The Covidex is the user application component of our three-pronged strategy to develop technologies for helping domain experts tackle the ongoing global pandemic. In addition, we provide robust and easy-to-use keyword search infrastructure that exploits mature fusion-based methods as well as standalone neural ranking models that can be incorporated into other applications. These techniques have been evaluated in the ongoing TREC-COVID challenge: Our infrastructure and baselines have been adopted by many participants, including some of the highest-scoring runs in rounds 1, 2, and 3. In round 3, we report the highest-scoring run that takes advantage of previous training data and the second-highest fully automatic run.

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