Darina Benikova and Chris Biemann and Max Kisselew and Sebastian Pado. GermEval 2014 Named Entity Recognition Shared Task: Companion Paper. Proceedings of the KONVENS GermEval workshop.


This paper describes the GermEval 2014 Named Entity Recognition (NER) Shared Task workshop at KONVENS. It provides background information on the motivation of this task, the dataset, the evaluation method, and an overview of the participating systems, followed by a discussion of their results. In contrast to previous NER tasks, the GermEval 2014 edition uses an extended tagset to account for derivatives of names and tokens that contain name parts. Further, nested named entities had to be predicted, i.e. names that contain other names. The eleven participating teams employed a wide range of techniques in their systems. The most successful systems used state-of-the-art machine learning methods, combined with some knowledge-based features in hybrid systems.


@InProceedings{benikova14:_germev_named_entit_recog_shared_task,
  author =       {Darina Benikova and Chris Biemann and 
                  Max Kisselew and Sebastian Pad\'o},
  title =        {GermEval 2014 Named Entity Recognition Shared Task: 
                  Companion Paper},
  booktitle = {Proceedings of the KONVENS GermEval workshop},
  year =         2014,
  pages = {104--112},
  address =      {Hildesheim, Germany}}