Dataset Open Access
Linda Andersson;
Florina Piroi
<?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"><p>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.</p></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>
All versions | This version | |
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Views | 188 | 188 |
Downloads | 10 | 10 |
Data volume | 15.1 GB | 15.1 GB |
Unique views | 143 | 143 |
Unique downloads | 10 | 10 |