Dataset Open Access

AR-Onto-Covid -- Supporting Material

Linda Andersson; Florina Piroi


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">biomedical</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">ontology extraction</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">NLP</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">bert models</subfield>
  </datafield>
  <controlfield tag="005">20210401122728.0</controlfield>
  <controlfield tag="001">4652015</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Artificial Researcher IT GmbH</subfield>
    <subfield code="0">(orcid)0000-0001-7584-6439</subfield>
    <subfield code="a">Florina Piroi</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">1509910795</subfield>
    <subfield code="z">md5:8014c3e97b8e81f305df4eec57b17c69</subfield>
    <subfield code="u">https://zenodo.org/record/4652015/files/AR-Onto-Covid.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2021-03-31</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="p">user-eoscsecretariat</subfield>
    <subfield code="o">oai:zenodo.org:4652015</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Artificial Researcher IT GmbH</subfield>
    <subfield code="a">Linda Andersson</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">AR-Onto-Covid -- Supporting Material</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-eoscsecretariat</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">831644</subfield>
    <subfield code="a">EOSCsecretariat.eu</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&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;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.4652014</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.4652015</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>
188
10
views
downloads
All versions This version
Views 188188
Downloads 1010
Data volume 15.1 GB15.1 GB
Unique views 143143
Unique downloads 1010

Share

Cite as