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We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the information from publicly available scientific literature and…

The ongoing COVID-19 pandemic has had far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature…

We present COVID-SEE, a system for medical literature discovery based on the concept of information exploration, which builds on several distinct text analysis and natural language processing methods to structure and organise information in…

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…

Information Retrieval · Computer Science 2020-12-01 Heer Ambavi , Kavita Vaishnaw , Udit Vyas , Abhisht Tiwari , Mayank Singh

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of important knowledge. In biomedicine, this directly impacts…

The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COVID-19 for short) demands empowering existing medical, economic, and social emergency backend systems with data analytics capabilities. An impediment in taking…

Software Engineering · Computer Science 2021-10-14 Aakash Ahmad , Madhushi Bandara , Mahdi Fahmideh , Henderik A. Proper , Giancarlo Guizzardi , Jeffrey Soar

The global spread of COVID-19 has caused pandemics to be widely discussed. This is evident in the large number of scientific articles and the amount of user-generated content on social media. This paper aims to compare academic…

Digital Libraries · Computer Science 2021-04-13 Qingqing Zhou , Chengzhi Zhang

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…

Information Retrieval · Computer Science 2024-01-31 Marcos V. L. Pivetta

A comprehensive bibliographic review with R statistical methods of the COVID pandemic in PubMed literature and Web of Science Core Collection, supported with Google Scholar search. In addition, a case study review of emerging new approaches…

Increasing number of COVID-19 research literatures cause new challenges in effective literature screening and COVID-19 domain knowledge aware Information Retrieval. To tackle the challenges, we demonstrate two tasks along withsolutions,…

Information Retrieval · Computer Science 2022-11-09 Arusarka Bose , Zili Zhou , Guandong Xu

Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually. TREC COVID search track aims to assist in creating search tools to aid…

Information Retrieval · Computer Science 2020-07-07 Vincent Nguyen , Maciek Rybinski , Sarvnaz Karimi , Zhenchang Xing

The COVID-19 pandemic shifted academic collaboration from in-person to remote interactions. This study explores, for the first time, the effects on scientific collaborations and impact of such a shift, comparing research output before,…

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 construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years. Additionally, the problem of uncovering relationships between developments in the COVID-19 pandemic and social media…

Social and Information Networks · Computer Science 2021-10-12 Dominic Flocco , Bryce Palmer-Toy , Ruixiao Wang , Hongyu Zhu , Rishi Sonthalia , Junyuan Lin , Andrea L. Bertozzi , P. Jeffrey Brantingham

The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new directions. Search engines are designed for targeted queries, not for…

Information Retrieval · Computer Science 2020-09-22 Tom Hope , Jason Portenoy , Kishore Vasan , Jonathan Borchardt , Eric Horvitz , Daniel S. Weld , Marti A. Hearst , Jevin West

This study reviews the literature on virtual academic conferences, which have gained significant attention due to the COVID-19 pandemic. We conducted a scoping review, analyzing 147 documents available up to October 5th, 2021. We…

Digital Libraries · Computer Science 2024-06-21 Agnieszka Olechnicka , Adam Ploszaj , Ewa Zegler-Poleska

COVID-19 is one of the most important topic these days, specifically on search engines and news. While fake news are easily shared, scientific papers are reliable sources where information can be extracted. With about 24,000 scientific…

Digital Libraries · Computer Science 2020-05-04 Bernard Dousset , Josiane Mothe

As the COVID19 pandemic has spread across the world, a concurrent pandemic of information has spread with it. Deemed an infodemic by the World Health Organization, and described as an overabundance of information, some accurate, some not,…

Computers and Society · Computer Science 2022-02-09 Jennifer Cole

The COVID-19 pandemic has magnified an already existing trend of people looking for healthcare solutions online. One class of solutions are symptom checkers, which have become very popular in the context of COVID-19. Traditional symptom…

Artificial Intelligence · Computer Science 2020-12-02 Anitha Kannan , Richard Chen , Vignesh Venkataraman , Geoffrey J. Tso , Xavier Amatriain