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With worldwide concerns surrounding the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there is a rapidly growing body of literature on the virus. Clinicians, researchers, and policy-makers need a way to effectively search…

信息检索 · 计算机科学 2020-08-04 Sean MacAvaney , Arman Cohan , Nazli Goharian

The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines. As of May 2020,…

信息检索 · 计算机科学 2020-06-18 Andre Esteva , Anuprit Kale , Romain Paulus , Kazuma Hashimoto , Wenpeng Yin , Dragomir Radev , Richard Socher

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…

信息检索 · 计算机科学 2020-07-07 Vincent Nguyen , Maciek Rybinski , Sarvnaz Karimi , Zhenchang Xing

The world has faced the devastating outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), or COVID-19, in 2020. Research in the subject matter was fast-tracked to such a point that scientists were struggling to keep up…

信息检索 · 计算机科学 2020-09-03 Maksim Ekin Eren , Nick Solovyev , Edward Raff , Charles Nicholas , Ben Johnson

The COVID-19 pandemic has resulted in a tremendous need for access to the latest scientific information, primarily through the use of text mining and search tools. This has led to both corpora for biomedical articles related to COVID-19…

信息检索 · 计算机科学 2020-07-29 Sarvesh Soni , Kirk Roberts

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI. Our system has been online and serving users since…

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

Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital…

社会与信息网络 · 计算机科学 2024-12-30 Nirmalya Thakur

Information overload is a prevalent challenge in many high-value domains. A prominent case in point is the explosion of the biomedical literature on COVID-19, which swelled to hundreds of thousands of papers in a matter of months. In…

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

Long COVID continues to challenge public health by affecting a considerable number of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital…

社会与信息网络 · 计算机科学 2025-03-18 Nirmalya Thakur , Niven Francis Da Guia Fernandes , Madje Tobi Marc'Avent Tchona

The scientific literature is growing rapidly, making it hard to keep track of the state-of-the-art. Systematic literature reviews (SLRs) aim to identify and evaluate all relevant papers on a topic. After retrieving a set of candidate…

计算与语言 · 计算机科学 2025-06-09 Christian Jaumann , Andreas Wiedholz , Annemarie Friedrich

Objective: To discover candidate drugs to repurpose for COVID-19 using literature-derived knowledge and knowledge graph completion methods. Methods: We propose a novel, integrative, and neural network-based literature-based discovery (LBD)…

计算与语言 · 计算机科学 2021-02-10 Rui Zhang , Dimitar Hristovski , Dalton Schutte , Andrej Kastrin , Marcelo Fiszman , Halil Kilicoglu

Coronavirus disease (COVID-19) has been declared as a pandemic by WHO with thousands of cases being reported each day. Numerous scientific articles are being published on the disease raising the need for a service which can organize, and…

A dataset of COVID-19-related scientific literature is compiled, combining the articles from several online libraries and selecting those with open access and full text available. Then, hierarchical nonnegative matrix factorization is used…

With the COVID-19 pandemic, there is a growing urgency for medical community to keep up with the accelerating growth in the new coronavirus-related literature. As a result, the COVID-19 Open Research Dataset Challenge has released a corpus…

计算与语言 · 计算机科学 2020-06-04 Virapat Kieuvongngam , Bowen Tan , Yiming Niu

Coronavirus disease (COVID-19) is an infectious disease, which is caused by the SARS-CoV-2 virus. Due to the growing literature on COVID-19, it is hard to get precise, up-to-date information about the virus. Practitioners, front-line…

信息检索 · 计算机科学 2022-06-08 Shaina Raza

The COVID-19 pandemic has had adverse effects on both physical and mental health. During this pandemic, numerous studies have focused on gaining insights into health-related perspectives from social media. In this study, our primary…

机器学习 · 计算机科学 2024-12-02 Mahathir Mohammad Bishal , Md. Rakibul Hassan Chowdory , Anik Das , Muhammad Ashad Kabir

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…

In recent years, several research articles have been published in the field of corona-virus caused diseases like severe acute respiratory syndrome (SARS), middle east respiratory syndrome (MERS) and COVID-19. In the presence of numerous…

机器学习 · 计算机科学 2020-08-04 Sanjay Kumar Sonbhadra , Sonali Agarwal , P. Nagabhushan
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