This survey explores how Deep Learning has battled the COVID-19 pandemic and provides
directions for future research on COVID-19. We cover Deep Learning applications in Natural …

Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …

Pyserini is a Python toolkit for reproducible information retrieval research with sparse and
dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage …

More than 50 000 papers have been published about COVID-19 since the beginning of
2020 and several hundred new papers continue to be published every day. This incredible …

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …

Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …

The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

During the COVID-19 pandemic, more than ever, data science has become a powerful
weapon in combating an infectious disease epidemic and arguably any future infectious …

In the current situation of worldwide pandemic COVID-19, which has infected 62.5 Million
people and caused nearly 1.46 Million deaths worldwide as of Nov 2020. The profoundly …

Dealing with vast amounts of textual data requires the use of efficient systems. Automatic
summarization systems are capable of addressing this issue. Therefore, it becomes highly …