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相关论文: Prioritization of COVID-19-related literature via …

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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…

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

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

The abundance of literature related to the widespread COVID-19 pandemic is beyond manual inspection of a single expert. Development of systems, capable of automatically processing tens of thousands of scientific publications with the aim to…

计算与语言 · 计算机科学 2020-11-11 Matej Martinc , Blaž Škrlj , Sergej Pirkmajer , Nada Lavrač , Bojan Cestnik , Martin Marzidovšek , Senja Pollak

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…

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 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 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

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,…

信息检索 · 计算机科学 2022-11-09 Arusarka Bose , Zili Zhou , Guandong Xu

In recent years, with the appearance of the COVID-19 pandemic, numerous publications relevant to this disease have been issued. Because of the massive volume of publications, an efficient retrieval system is necessary to provide researchers…

信息检索 · 计算机科学 2025-06-24 Hoang-An Trieu , Dinh-Truong Do , Chau Nguyen , Vu Tran , Minh Le Nguyen

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 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…

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

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

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…

数字图书馆 · 计算机科学 2020-05-04 Bernard Dousset , Josiane Mothe

The world has seen in 2020 an unprecedented global outbreak of SARS-CoV-2, a new strain of coronavirus, causing the COVID-19 pandemic, and radically changing our lives and work conditions. Many scientists are working tirelessly to find a…

信息检索 · 计算机科学 2020-05-18 Pierre Le Bras , Azimeh Gharavi , David A. Robb , Ana F. Vidal , Stefano Padilla , Mike J. Chantler

The COVID-19 pandemic has driven ever-greater demand for tools which enable efficient exploration of biomedical literature. Although semi-structured information resulting from concept recognition and detection of the defining elements of…

Since the beginning of coronavirus, the disease has spread worldwide and drastically changed many aspects of the human's lifestyle. Twitter as a powerful tool can help researchers measure public health in response to COVID-19. According to…

计算与语言 · 计算机科学 2021-10-15 Mohamad Zamini

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 scientific community continues to publish an overwhelming amount of new research related to COVID-19 on a daily basis, leading to much literature without little to no attention. To aid the community in understanding the rapidly flowing…

计算与语言 · 计算机科学 2020-09-29 Jong Won Park
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