Conference paper Open Access

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

Limsopatham, Nut; Collier, Nigel


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{
  "description": "<p>The TwADR-L and AskAPatient datasets for reproducing experiments in the paper entitled &quot;Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation&quot; to be published at ACL 2016: the 54th Annual Meeting of the Association for Computational Linguistics &mdash; August 7&ndash;12, 2016 &mdash; Berlin, Germany.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Cambridge", 
      "@type": "Person", 
      "name": "Limsopatham, Nut"
    }, 
    {
      "affiliation": "University of Cambridge", 
      "@type": "Person", 
      "name": "Collier, Nigel"
    }
  ], 
  "url": "https://zenodo.org/record/55013", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2016-06-06", 
  "headline": "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.55013", 
  "@id": "https://doi.org/10.5281/zenodo.55013", 
  "@type": "ScholarlyArticle", 
  "name": "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation"
}
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