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2020

Participation in TREC 2020 COVID Track Using Continuous Active Learning

Wang, Xue Jun, Grossman, Maura R., Hyun, Seung Gyu

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We describe our participation in all five rounds of the TREC 2020 COVID Track (TREC-COVID).

The goal of TREC-COVID is to contribute to the response to the COVID-19 pandemic by identifying answers to many pressing questions and building infrastructure to improve search systems [8].
All five rounds of this Track challenged participants to perform a classic ad-hoc search task on the new data collection CORD-19.
Our solution addressed this challenge by applying the Continuous Active Learning model (CAL) and its variations.

Participation in TREC 2020 COVID Track Using Continuous Active Learning · Around

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Evaluation of machine-learning protocols for technology-assisted review in electronic discovery
Gordon V. Cormack and Maura R. Grossman · 2014
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Total recall track tools architecture overview
Adam Roegiest and Gordon V Cormack · 2015
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Trec 2015 total recall track overview
Adam Roegiest, Gordon V Cormack, Charles LA Clarke, and Maura R Grossman · 2015
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