Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing

Q Chen, R Leaman, A Allot, L Luo… - Annual review of …, 2021 - annualreviews.org
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …

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 …

EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition

P Li, G Zhou, Y Guo, S Zhang, Y Jiang… - Information Processing & …, 2024 - Elsevier
Since the outbreak of COVID-19, it has had a huge impact on the whole world. In China,
there have been a large number of epidemiological investigation reports in response to …

[PDF][PDF] Studies on Subword-based Low-Resource Neural Machine Translation: Segmentation, Encoding, and Decoding

S Haiyue - 2024 - repository.kulib.kyoto-u.ac.jp
In a world rich with diverse ideas and cultures, humans are isolated into islands of distinct
languages. Machine translation (MT) serves as a bridge, facilitating information access and …

[PDF][PDF] Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020

K Verspoor, KB Cohen, M Conway… - Proceedings of the …, 2020 - aclanthology.org
This is the second workshop organized on the topic of COVID-19 in conjunction with an*
ACL conference. The first took place in conjunction with ACL 2020. As a result of …

The Globalisation of Health Information Work

K Gray - The Health Information Workforce: Current and Future …, 2021 - Springer
Globalisation in the health sector challenges conventions about the health workforce, such
as where people in this workforce are trained and based geographically, how their work is …

Does Multi-Hop Crowdsourcing Work? A Case Study on Collecting COVID-19 Local Information

Y Zhong, M Kobayashi, M Matsubara… - … Conference on Big …, 2021 - ieeexplore.ieee.org
The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe from the
beginning of 2020 and people worldwide have been receiving news about the same from …

[PDF][PDF] Graph Attention Networks for Graph Learning and Its Applications

R Zhu - 2021 - yorkspace.library.yorku.ca
This thesis addresses and investigates the recent development of graph attention network
(GAT) models in the three following aspects:(1) GATs on single graph learning via the …

[PDF][PDF] Multi-Armed Bandit Approach to Task Assignment across Multi Crowdsourcing Platforms

Y Xiao, Y Yamashita, H Ito, M Matsubara, A Morishima - 2022 - humancomputation.com
Many existing optimization approaches deal with task assignments on one particular
platform. This paper addresses the problem of task assignments to multiple crowdsourcing …