Text mining approaches for dealing with the rapidly expanding literature on COVID-19

LL Wang, K Lo - Briefings in Bioinformatics, 2021 - academic.oup.com
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 …

Data science approaches to confronting the COVID-19 pandemic: a narrative review

Q Zhang, J Gao, JT Wu, Z Cao… - … Transactions of the …, 2022 - royalsocietypublishing.org
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 …

REALTIME QA: what's the answer right now?

J Kasai, K Sakaguchi, R Le Bras… - Advances in …, 2024 - proceedings.neurips.cc
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 …

Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world

F Firouzi, B Farahani, M Daneshmand… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
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 …

Neural entity linking: A survey of models based on deep learning

Ö Sevgili, A Shelmanov, M Arkhipov… - Semantic …, 2022 - content.iospress.com
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 …

COBERT: COVID-19 question answering system using BERT

JA Alzubi, R Jain, A Singh, P Parwekar… - Arabian journal for …, 2023 - Springer
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 …

The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges

MA Al-Garadi, YC Yang, A Sarker - Healthcare, 2022 - mdpi.com
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 …

BERT might be overkill: A tiny but effective biomedical entity linker based on residual convolutional neural networks

T Lai, H Ji, CX Zhai - arxiv preprint arxiv:2109.02237, 2021 - arxiv.org
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 …

Improving biomedical entity linking with cross-entity interaction

Z Xu, Y Chen, B Hu - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
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 …

COVID-19 named entity recognition for Vietnamese

TH Truong, MH Dao, DQ Nguyen - arxiv preprint arxiv:2104.03879, 2021 - arxiv.org
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 …