June 6, 2016 Conference paper Open Access

Limsopatham, Nut; Collier, Nigel

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  <identifier identifierType="DOI">10.5281/zenodo.55013</identifier>
  <creators>
    <creator>
      <creatorName>Limsopatham, Nut</creatorName>
      <givenName>Nut</givenName>
      <familyName>Limsopatham</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
    <creator>
      <creatorName>Collier, Nigel</creatorName>
      <givenName>Nigel</givenName>
      <familyName>Collier</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2016</publicationYear>
  <dates>
    <date dateType="Issued">2016-06-06</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/55013</alternateIdentifier>
  </alternateIdentifiers>
  <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 TwADR-L and AskAPatient datasets for reproducing experiments in the paper entitled &amp;quot;Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation&amp;quot; to be published at ACL 2016: the 54th Annual Meeting of the Association for Computational Linguistics &amp;mdash; August 7&amp;ndash;12, 2016 &amp;mdash; Berlin, Germany.&lt;/p&gt;</description>
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