HUNER: improving biomedical NER with pretraining.

Journal: Bioinformatics (Oxford, England)
Published Date: Jan 1, 2020

Abstract

MOTIVATION: Several recent studies showed that the application of deep neural networks advanced the state-of-the-art in named entity recognition (NER), including biomedical NER. However, the impact on performance and the robustness of improvements crucially depends on the availability of sufficiently large training corpora, which is a problem in the biomedical domain with its often rather small gold standard corpora.

Authors

  • Leon Weber
    Computer Science Department, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Jannes Münchmeyer
    Computer Science Department, Humboldt-Universität zu Berlin, Berlin 10099, Germany.
  • Tim Rocktäschel
    Department of Computer Science, University College London, London WC1E 6BT, UK.
  • Maryam Habibi
    Computer Science Department, Humboldt-Universität zu Berlin, Berlin, Germany.
  • Ulf Leser
    Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics, Berlin, Germany.

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