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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Enrich4All-RoCOVID-Open

Authors: Elena Irimia; Verginica Barbu Mititelu; Maria Mitrofan Carp;

Enrich4All-RoCOVID-Open

Abstract

The COVID corpus in Romanian collects Romanian documents about the COVID pandemics, about the COVID disease and its diverse aspects that it entails, including medical, sociological and logistical. It was intended to foster the development of an intelligent chatbot, answering Romanian questions about COVID, in the Enrich4All project. It contains two parts: one that can be released publicly (Enrich4All-RoCOVID-Open) and one that contains copyrighted material (Enrich4All-RoCOVID-Restricted). The archive contains a readme file and the publicly released documents: 82 (.txt, UTF-8) files together with their associated metadata files (.xml). Example of a metadata file: <Metadata> <DocumentTitle>Sinteză: Regimul carantinei și condițiile pentru intrarea în România</DocumentTitle> <PublicationDate>2020</PublicationDate> <SourceName>Code for Romania</SourceName> <SourceURL>https://covid19.stirioficiale.ro/sinteza-regimul-carantinei-si-conditiile-pentru-intrarea-in-romania</SourceURL> <DocumentTextStyle>Law</DocumentTextStyle> <DocumentTextDomain>covid19</DocumentTextDomain> <SubjectLanguage>Romanian</SubjectLanguage> <CollectionDate>2021</CollectionDate> <AccessRight>Open Access</AccessRight> <No_of_words>3073</No_of_words> </Metadata> When using our dataset, please cite the following paper: Ion, Radu, Andrei-Marius Avram, Vasile Păiş, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. "An Open-Domain QA System for e-Governance." arXiv preprint arXiv:2206.08046 (2022). Person of contact: Radu Ion, radu@racai.ro

{"references": ["Ion, Radu, Andrei-Marius Avram, Vasile P\u0103i\u015f, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, and Valentin Badea. \"An Open-Domain QA System for e-Governance.\" arXiv preprint arXiv:2206.08046 (2022)."]}

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Keywords

corpus, Question Answering, COVID

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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