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The coronavirus disease (COVID-19) has claimed the lives of over 350,000 people and infected more than 6 million people worldwide. Several search engines have surfaced to provide researchers with additional tools to find and retrieve…

As scientists worldwide search for answers to the overwhelmingly unknown behind the deadly pandemic, the literature concerning COVID-19 has been growing exponentially. Keeping abreast of the body of literature at such a rapidly advancing…

数字图书馆 · 计算机科学 2020-12-24 Chaomei Chen

The COVID-19 pandemic triggered a wave of novel scientific literature that is impossible to inspect and study in a reasonable time frame manually. Current machine learning methods offer to project such body of literature into the vector…

信息检索 · 计算机科学 2021-10-19 Blaž Škrlj , Marko Jukič , Nika Eržen , Senja Pollak , Nada Lavrač

Coronavirus disease 2019 (COVID-19) is a global pandemic. Although much has been learned about the novel coronavirus since its emergence, there are many open questions related to tracking its spread, describing symptomology, predicting the…

计算与语言 · 计算机科学 2021-03-12 Kevin Lybarger , Mari Ostendorf , Matthew Thompson , Meliha Yetisgen

The emergence of the novel COVID-19 pandemic has had a significant impact on global healthcare and the economy over the past few months. The virus's rapid widespread has led to a proliferation in biomedical research addressing the pandemic…

人工智能 · 计算机科学 2020-07-21 Chongyan Chen , Islam Akef Ebeid , Yi Bu , Ying Ding

Background: The COVID-19 pandemic has caused severe impacts on health systems worldwide. Its critical nature and the increased interest of individuals and organizations to develop countermeasures to the problem has led to a surge of new…

信息检索 · 计算机科学 2024-01-31 Marcos V. L. Pivetta

A COVID-19 pandemic has already proven itself to be a global challenge. It proves how vulnerable humanity can be. It has also mobilized researchers from different sciences and different countries in the search for a way to fight this…

信息检索 · 计算机科学 2020-04-08 Iztok Fister , Karin Fister , Iztok Fister

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval…

The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and data visualization…

信息检索 · 计算机科学 2020-12-01 Heer Ambavi , Kavita Vaishnaw , Udit Vyas , Abhisht Tiwari , Mayank Singh

The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities…

机器学习 · 计算机科学 2020-07-24 Ashkan Ebadi , Pengcheng Xi , Stéphane Tremblay , Bruce Spencer , Raman Pall , Alexander Wong

As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthcare agencies in addressing it. This typically involves…

计算与语言 · 计算机科学 2023-03-23 Yuhang Jiang , Ramakanth Kavuluru

In this paper, we describe our approach in the shared task: COVID-19 event extraction from Twitter. The objective of this task is to extract answers from COVID-related tweets to a set of predefined slot-filling questions. Our approach…

计算与语言 · 计算机科学 2021-02-19 Congcong Wang , David Lillis

The COVID-19 pandemic has spawned a diverse body of scientific literature that is challenging to navigate, stimulating interest in automated tools to help find useful knowledge. We pursue the construction of a knowledge base (KB) of…

The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing pandemic. There are ongoing studies with up to hundreds of publications uploaded to databases daily. We are exploring the use-case of artificial intelligence and natural…

信息检索 · 计算机科学 2021-02-16 Yutong Jin , Jie Li , Xinyu Wang , Peiyao Li , Jinjiang Guo , Junfeng Wu , Dawei Leng , Lurong Pan

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 related biological functions. We have developed a novel and…

Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal use cases, such as safely reopening the economy. Challenges include…

计算机与社会 · 计算机科学 2022-01-19 Arun Sharma , Majid Farhadloo , Yan Li , Aditya Kulkarni , Jayant Gupta , Shashi Shekhar

As the COVID-19 pandemic continues to impact the world, data is being gathered and analyzed to better understand the disease. Recognizing the potential for visual analytics technologies to support exploratory analysis and hypothesis…

人机交互 · 计算机科学 2022-07-01 David Borland , Irena Brain , Karamarie Fecho , Emily Pfaff , Hao Xu , James Champion , Chris Bizon , David Gotz

The unprecedented outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), or COVID-19, continues to be a significant worldwide problem. As a result, a surge of new COVID-19 related research has followed suit. The growing…

机器学习 · 计算机科学 2021-07-21 Maksim E. Eren , Nick Solovyev , Chris Hamer , Renee McDonald , Boian S. Alexandrov , Charles Nicholas

Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of data and case studies have been made available, providing researchers with a unique opportunity to find trends and make discoveries like never…

机器学习 · 计算机科学 2021-10-20 Sarwan Ali , Yijing Zhou , Murray Patterson

Timely access to accurate scientific literature in the battle with the ongoing COVID-19 pandemic is critical. This unprecedented public health risk has motivated research towards understanding the disease in general, identifying drugs to…

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