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About:
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
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covidontheweb.inria.fr
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research paper
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Covid-on-the-Web dataset
title
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Creator
Gupta, Nikhil
Lin, Jimmy
Cho, Kyunghyun
Nogueira, Rodrigo
Tang, Raphael
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ArXiv
abstract
We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge. To our knowledge, this is the first publicly available resource of its type, and intended as a stopgap measure for guiding research until more substantial evaluation resources become available. While this dataset, comprising 124 question-article pairs as of the present version 0.1 release, does not have sufficient examples for supervised machine learning, we believe that it can be helpful for evaluating the zero-shot or transfer capabilities of existing models on topics specifically related to COVID-19. This paper describes our methodology for constructing the dataset and presents the effectiveness of a number of baselines, including term-based techniques and various transformer-based models. The dataset is available at http://covidqa.ai/
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2020-04-23
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0f995b05821b58b02e914422b56fba615d0e8d7f
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Rapidly Bootstrapping a Question Answering Dataset for COVID-19
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