Dataset Open Access

Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)

Gienapp, Lukas; Stein, Benno; Hagen, Matthias; Potthast, Martin


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  <identifier identifierType="DOI">10.5281/zenodo.3780049</identifier>
  <creators>
    <creator>
      <creatorName>Gienapp, Lukas</creatorName>
      <givenName>Lukas</givenName>
      <familyName>Gienapp</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5707-3751</nameIdentifier>
      <affiliation>Leipzig University</affiliation>
    </creator>
    <creator>
      <creatorName>Stein, Benno</creatorName>
      <givenName>Benno</givenName>
      <familyName>Stein</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9033-2217</nameIdentifier>
      <affiliation>Bauhaus-Universität Weimar,</affiliation>
    </creator>
    <creator>
      <creatorName>Hagen, Matthias</creatorName>
      <givenName>Matthias</givenName>
      <familyName>Hagen</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9733-2890</nameIdentifier>
      <affiliation>Martin-Luther-Universität Halle-Wittenberg</affiliation>
    </creator>
    <creator>
      <creatorName>Potthast, Martin</creatorName>
      <givenName>Martin</givenName>
      <familyName>Potthast</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2451-0665</nameIdentifier>
      <affiliation>Leipzig University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Webis Argument Quality Corpus 2020 (Webis-ArgQuality-20)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Computational Argumentation</subject>
    <subject>Argument Search</subject>
    <subject>Argument Quality</subject>
    <subject>Natural Language Processing</subject>
    <subject>Information Retrieval</subject>
    <subject>Pairwise Annotation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-05-01</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3780049</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3780048</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/webis</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</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>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The Webis Argument Quality Corpus&amp;nbsp;2020 &amp;nbsp;(Webis-ArgQuality-20) contains 1271&amp;nbsp;arguments spanning 20 topics&amp;nbsp;with&amp;nbsp;scores for rhetorical, logical, dialectical, and overall quality as well as topical relevance. Quality scores are&amp;nbsp;inferred from a total of&amp;nbsp;42k&amp;nbsp;pairwise judgments. Arguments are sourced from the&amp;nbsp;&lt;a href="https://zenodo.org/record/3734893"&gt;args.me corpus&lt;/a&gt;.&lt;/p&gt;</description>
  </descriptions>
</resource>
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