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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 theCOVID-19 pandemic by identifying answers to many pressing questions andbuilding infrastructure to improve search systems [8]. All five rounds of thisTrack challenged participants to perform a classic ad-hoc search task on thenew data collection CORD-19. Our solution addressed this challenge by applyingthe Continuous Active Learning model (CAL) and its variations. Our resultsshowed us to be amongst the top scoring manual runs and we remained competitivewithin all categories of submissions.

Participation in TREC 2020 COVID Track Using Continuous Active Learning