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        <contrib contrib-type="author">
          <string-name>Session Chairs</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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        <contrib contrib-type="author">
          <string-name>Programme Committee</string-name>
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        <contrib contrib-type="editor">
          <string-name>MESINESP/Plan TL Session: Andre Lamurias, LASIGE, Portugal</string-name>
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        <aff id="aff0">
          <label>0</label>
          <institution>Anastasios Nentidis: National Center for Scienti c Research Demokritos</institution>
          ,
          <country country="GR">Greece</country>
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      </contrib-group>
      <pub-date>
        <year>2020</year>
      </pub-date>
      <abstract>
        <p>Martin Krallinger: head of the Text Mining unit at the Barcelona Supercomputing Center (BSC), Spain He is an expert in the eld of biomedical and clinical text mining and language technologies and has been working in this and related research topics since more than ten years, which resulted in over 70 publications and several domain speci c text mining and semantic search applications. We was involved in the implementation and evaluation of biomedical named entity recognition components, information extraction systems and semantic indexing of large datasets of heterogeneous document types (research literature, patents, legacy reports, European public assessment reports). He also promoted the development of the rst biomedical text annotation meta-server (BioCreative MetaServer - BCMS) and the follow up BeCalm/TIPS metaserver. He is one of the main organizers of BioCreative community assessment challenges for the evaluation of biomedical NLP systems and has been involved in the organization of text mining shared tasks in various international community challenge e orts including IberEval, IberLEF, and CLEF.</p>
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