July 31, 2019 Presentation Open Access

De la Rosa, Javier; Ros Muñoz

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  <identifier identifierType="DOI">10.5281/zenodo.3356266</identifier>
  <creators>
    <creator>
      <creatorName>De la Rosa, Javier</creatorName>
      <givenName>Javier</givenName>
      <familyName>De la Rosa</familyName>
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      <affiliation>UNED</affiliation>
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    <creator>
      <creatorName>Ros Muñoz</creatorName>
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      <affiliation>UNED</affiliation>
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  <titles>
    <title>Using deep learning paradigm to improve syllabic versification: A first approach</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>scansion</subject>
    <subject>versification</subject>
    <subject>natural language processing</subject>
    <subject>embeddings</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-31</date>
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  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Presented an off-track paper on using modern neural approaches for unsupervised scansion of multi-lingual texts&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/H2020/679528/">679528</awardNumber>
      <awardTitle>Poetry Standardization and Linked Open Data</awardTitle>
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