March 31, 2021 Dataset Open Access

Linda Andersson; Florina Piroi

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.4652015</identifier>
  <creators>
    <creator>
      <creatorName>Linda Andersson</creatorName>
      <affiliation>Artificial Researcher IT GmbH</affiliation>
    </creator>
    <creator>
      <creatorName>Florina Piroi</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7584-6439</nameIdentifier>
      <affiliation>Artificial Researcher IT GmbH</affiliation>
    </creator>
  </creators>
  <titles>
    <title>AR-Onto-Covid -- Supporting Material</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>biomedical</subject>
    <subject>ontology extraction</subject>
    <subject>NLP</subject>
    <subject>bert models</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-03-31</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
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  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4652014</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/eoscsecretariat</relatedIdentifier>
  </relatedIdentifiers>
  <version>1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This data set contains three BERT-based models, data necessary for Natural Language Processing in the bio-medical domain based on CORD19 data, also contains patent data relevant to the bio-medical domain. With this data models can extract ontological relations from a data set.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/831644/">831644</awardNumber>
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