Continual BERT: Continual Learning for Adaptive Extractive Summarization of COVID-19 Literature

The scientific community continues to publish an overwhelming amount of new research related to COVID-19 on a daily basis, leading to much literature without little to no attention. To aid the community in understanding the rapidly flowing array of COVID-19 literature, we propose a novel BERT architecture that provides a brief yet original summarization of lengthy papers... (read more)

Results in Papers With Code
(↓ scroll down to see all results)