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 …
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 …
REALTIME QA: what's the answer right now?
We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …
Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the
pandemic has brought together researchers, institutions, governments, and society at large …
pandemic has brought together researchers, institutions, governments, and society at large …
Neural entity linking: A survey of models based on deep learning
This survey presents a comprehensive description of recent neural entity linking (EL)
systems developed since 2015 as a result of the “deep learning revolution” in natural …
systems developed since 2015 as a result of the “deep learning revolution” in natural …
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 …
The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
BERT might be overkill: A tiny but effective biomedical entity linker based on residual convolutional neural networks
Biomedical entity linking is the task of linking entity mentions in a biomedical document to
referent entities in a knowledge base. Recently, many BERT-based models have been …
referent entities in a knowledge base. Recently, many BERT-based models have been …
Improving biomedical entity linking with cross-entity interaction
Biomedical entity linking (EL) is the task of linking mentions in a biomedical document to
corresponding entities in a knowledge base (KB). The challenge in biomedical EL lies in …
corresponding entities in a knowledge base (KB). The challenge in biomedical EL lies in …
COVID-19 named entity recognition for Vietnamese
The current COVID-19 pandemic has lead to the creation of many corpora that facilitate NLP
research and downstream applications to help fight the pandemic. However, most of these …
research and downstream applications to help fight the pandemic. However, most of these …