[HTML][HTML] Deep Learning applications for COVID-19
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 …
directions for future research on COVID-19. We cover Deep Learning applications in Natural …
Pre-trained language models in biomedical domain: A systematic survey
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 …
language processing tasks. This also benefits the biomedical domain: researchers from …
Pyserini: A Python toolkit for reproducible information retrieval research with sparse and dense representations
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 …
dense representations. It aims to provide effective, reproducible, and easy-to-use first-stage …
Text mining approaches for dealing with the rapidly expanding literature on COVID-19
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 …
2020 and several hundred new papers continue to be published every day. This incredible …
COVID-19 literature knowledge graph construction and drug repurposing report generation
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 …
biomedical knowledge in scientific literature to understand the disease mechanism and …
Leveraging physiology and artificial intelligence to deliver advancements in health care
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 last decade. Significant advancements can be attributed to the utilization of artificial …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
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 …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Data science approaches to confronting the COVID-19 pandemic: a narrative review
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 …
weapon in combating an infectious disease epidemic and arguably any future infectious …
COBERT: COVID-19 question answering system using BERT
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 …
people and caused nearly 1.46 Million deaths worldwide as of Nov 2020. The profoundly …
A survey of the state-of-the-art models in neural abstractive text summarization
AA Syed, FL Gaol, T Matsuo - IEEE Access, 2021 - ieeexplore.ieee.org
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 …
summarization systems are capable of addressing this issue. Therefore, it becomes highly …