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Document Classification for COVID-19 Literature [article]

Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su
2020 arXiv   pre-print
The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields.  ...  We provide an analysis of several multi-label document classification models on the LitCovid dataset, a growing collection of 23,000 research papers regarding the novel 2019 coronavirus.  ...  The authors would also like to thank Lang Li and Tanya Berger-Wolf for helpful discussions.  ... 
arXiv:2006.13816v2 fatcat:vtuwsof2ufdhflvjicjetnjbxm

Document Classification for COVID-19 Literature

Bernal Jimenez Gutierrez, Jucheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su
2020 Findings of the Association for Computational Linguistics: EMNLP 2020   unpublished
Deep learning for extreme multilabel text classification.  ...  The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields.  ...  The authors would also like to thank Lang Li and Tanya Berger-Wolf for helpful discussions.  ... 
doi:10.18653/v1/2020.findings-emnlp.332 fatcat:rgt4oh4hmnd2xeml7dw2xasjie

Improving classification of low-resource COVID-19 literature by using Named Entity Recognition

Oscar Lithgow-Serrano, Joseph Cornelius, Vani Kanjirangat, Carlos-Francisco Méndez-Cruz, Fabio Rinaldi
2021 Genomics & Informatics  
a 3-way classification scheme is being applied to COVID-19 literature.  ...  In these proof-of-concept experiments, we observed a clear gain on COVID-19 literature classification.  ...  Acknowledgments We are grateful to the organizer of the Biomedical Linked Annotation Hackathon 2021 for the opportunity to work collaboratively on this project and share it with the other participants.  ... 
doi:10.5808/gi.21018 pmid:34638169 fatcat:73x63betlzdjhdqd5nwt4bnwt4

Visualization of Diseases at Risk in the COVID-19 Literature [article]

Francis Wolinski
2020 arXiv   pre-print
Developed for the COVID-19, the project has the ability to extract diseases at risk and to calculate relevant indicators.  ...  Beyond the COVID-19, VIDAR has much broader applications and might be directly used for any corpus dealing with other pathologies.  ...  Jean-Franois Perrot and Frantz Vichot for their useful comments on this project.  ... 
arXiv:2005.00848v1 fatcat:6xyjgu2myzcmpokmlja3wkbe6i


Bavishi Hilloni And Debalina Nandy
2021 Zenodo  
This will also provide the information on using SPECTER-document level relatedness like CORD 19 embeddings for pre-training a Transformer language model.  ...  The COVID-19 literature has accelerated at a rapid pace and the Artificial Intelligence community as well as researchers all over the globe has the responsibility to help the medical community.  ...  In developing the Question Answering Systems for COVID-19 related literature, ALBERT was used to find answers for questions mentioned in the Tasks of CORD-19.  ... 
doi:10.5281/zenodo.5201690 fatcat:3vm7q7ubjze73a2z3k5sxbtt34

COVIDScholar: An automated COVID-19 research aggregation and analysis platform [article]

Amalie Trewartha, John Dagdelen, Haoyan Huo, Kevin Cruse, Zheren Wang, Tanjin He, Akshay Subramanian, Yuxing Fei, Benjamin Justus, Kristin Persson, Gerbrand Ceder
2020 arXiv   pre-print
The scale, speed, and breadth of the scientific community's COVID-19 response has lead to the emergence of new research literature on a remarkable scale -- as of October 2020, over 81,000 COVID-19 related  ...  These factors have created a need for new tools to change the way scientific literature is disseminated.  ...  Fig. 6 : 6 Fraction of COVID-19 literature on mental health-and lockdown-related topics on a monthly basis. COVID-19 relevant research documents.  ... 
arXiv:2012.03891v1 fatcat:fcyluqglbvd35pswqlqevj3bim

A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape

Aleksander Aristovnik, Dejan Ravšelj, Lan Umek
2020 Sustainability  
The lack of knowledge about the COVID-19 pandemic has encouraged extensive research in the academic sphere, reflected in the exponentially growing scientific literature.  ...  The findings emphasize the great need for a comprehensive and in-depth approach that considers various scientific disciplines in COVID-19 research so as to benefit not only the scientific community but  ...  Note: * Less than 5 fields are identified for this cluster. Sustainability 2020, 12, 9132  ... 
doi:10.3390/su12219132 fatcat:nhrcnglofbg33gpkqld2n67ck4

Classification of a COVID-19 dataset by using labels created from clustering algorithms

Layth Rafea, Abdulrahman Ahmed, Wisam D. Abdullah
2021 Indonesian Journal of Electrical Engineering and Computer Science  
<span>Novel coronavirus (COVID-19) is a newly discovered infectious disease that has received much attention in the literature because of its rapid spread and daily global deaths attributable to such disease  ...  In this paper, the hierarchical and k-means clustering techniques are used to create a tool for identifying similar articles on COVID-19 and filtering them based on their titles.  ...  ACKNOWLEDGEMENTS This work was funded by the Allen Institute for AI, which prepared the CORD-19 dataset in partnership with leading research groups, and Kaggle, which hosted the COVID-19 Open Research  ... 
doi:10.11591/ijeecs.v21.i1.pp164-173 fatcat:qrl3526k25b6lfvx22viw6swui

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations [article]

Qingyu Chen, Alexis Allot, Robert Leaman, Rezarta Islamaj Doğan, Jingcheng Du, Li Fang, Kai Wang, Shuo Xu, Yuefu Zhang, Parsa Bagherzadeh, Sabine Bergler, Aakash Bhatnagar (+27 others)
2022 arXiv   pre-print
To close the gap, we organized the BioCreative LitCovid track to call for a community effort to tackle automated topic annotation for COVID-19 literature.  ...  It is one of the largest multilabel classification datasets in biomedical scientific literature. 19 teams worldwide participated and made 80 submissions in total.  ...  In response, LitCovid [5, 6] , the first-of-its-kind COVID-19-specific literature resource, has been developed for tracking and curating COVID-19 related literature.  ... 
arXiv:2204.09781v3 fatcat:us5rqgxjsbchbmaiypjbp4r7nq

Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view [article]

Lana Yeganova, Rezarta Islamaj, Qingyu Chen, Robert Leaman, Alexis Allot, Chin-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu
2020 arXiv   pre-print
Timely access to accurate scientific literature in the battle with the ongoing COVID-19 pandemic is critical.  ...  Taken together, these analyses produce a comprehensive, synthesized view of COVID-19 research to facilitate knowledge discovery from literature.  ...  Due to the rapid growth of the COVID-19 related literature, there is an unmet urgency for helping the biomedical and clinical community keep afloat in a sea of literature (Brainard 2020) .  ... 
arXiv:2008.03397v2 fatcat:e2e4upepira6bbfkeh5bvndydu

Multi-label classification of COVID-19-related articles with an autoML approach

Ilija Tavchioski, Boshko Koloski, Blaž Škrlj, Senja Pollak
2022 Zenodo  
to the shared task titled LitCovid track Multi-label topic classification for COVID-19 literature annotation.  ...  of COVID-19-related texts.  ...  This paper is supported by European Union's Horizon 2020 research and innovation programme under grant agreement No 825153, project EMBEDDIA (Cross-Lingual Embeddings for Less-Represented Languages in  ... 
doi:10.5281/zenodo.5854553 fatcat:l5mnk6rncvawrbydmbj3hjca2y

A Self-supervised Approach for Semantic Indexing in the Context of COVID-19 Pandemic [article]

Nima Ebadi, Peyman Najafirad
2020 arXiv   pre-print
The pandemic has accelerated the pace at which COVID-19 scientific papers are published.  ...  We present a case study on a novel dataset that is based on COVID-19 papers published and manually indexed in PubMed.  ...  We present a case study on COVID-19 literature collected from recently indexed documents in PubMed.  ... 
arXiv:2010.03544v1 fatcat:u4gn3il65vgrzkkubwe46c37vi

Sentiment Analysis of Covid-19 Related Contents in Microblogs

Ece ÇELİKTAŞ, Mustafa Özgür CİNGİZ
2021 Journal of innovative science and engineering  
The classification results for each negative, neutral and positive class were compared separately in our study.  ...  Even if COVID-19 is a health issue and tweets about COVID-19 is expected to contain negative content, we found positive, negative and neutral tweets to analyze texts using sentiment analysis and machine  ...  , Covid-19, Covid-2019.  ... 
doi:10.38088/jise.935963 fatcat:l6sx5vcrxvhi3nffi5h7ar2oyy

Twitter Sentiment Analysis of Covid-19 Using Term Weighting TF-IDF And Logistic Regresion

Imamah, Fika Hastarita Rachman
2020 2020 6th Information Technology International Seminar (ITIS)  
Covid-19 tweets will classify with the Logistic Regression method. Based on this research, the accuracy of the covid-19 tweeets sentiment classification is 94.71%.  ...  Covid-19 attack world population, and has brought much impact in all aspects of life. Stay at home and doing less in terms of social interactions.  ...  The author wants to thank you for the opportunity that has been given.  ... 
doi:10.1109/itis50118.2020.9320958 fatcat:sjv6y5lzwjdn5ndf3t6nh6j47y

LitSuggest: a web-based system for literature recommendation and curation using machine learning

Alexis Allot, Kyubum Lee, Qingyu Chen, Ling Luo, Zhiyong Lu
2021 Nucleic Acids Research  
Several computational methods have been proposed as an effective alternative to keyword-based query methods for literature recommendation.  ...  First, LitSuggest allows users to curate, organize, and download classification results in a single interface. Second, users can easily fine-tune LitSuggest results by updating the training corpus.  ...  We would like to thank Robert Leaman for proofreading our manuscript. FUNDING  ... 
doi:10.1093/nar/gkab326 pmid:33950204 pmcid:PMC8262723 fatcat:7p6krmcj55d2noarufaco6cxti
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