Corpus ID: 17712146

Robust Named Entity Recognition in Idiosyncratic Domains

@article{Arnold2016RobustNE,
  title={Robust Named Entity Recognition in Idiosyncratic Domains},
  author={Sebastian Arnold and Felix A. Gers and Torsten Kilias and Alexander L{\"o}ser},
  journal={ArXiv},
  year={2016},
  volume={abs/1608.06757}
}
  • Sebastian Arnold, Felix A. Gers, +1 author Alexander Löser
  • Published 2016
  • Computer Science
  • ArXiv
  • Named entity recognition often fails in idiosyncratic domains. That causes a problem for depending tasks, such as entity linking and relation extraction. We propose a generic and robust approach for high-recall named entity recognition. Our approach is easy to train and offers strong generalization over diverse domain-specific language, such as news documents (e.g. Reuters) or biomedical text (e.g. Medline). Our approach is based on deep contextual sequence learning and utilizes stacked… CONTINUE READING

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