@InProceedings{grtner-EtAl:2018:C18-2,
  author    = {Gärtner, Markus  and  Mayer, Sven  and  Schwind, Valentin  and  Hämmerle, Eric  and  Turcan, Emine  and  Rheinwald, Florin  and  Murawski, Gustav  and  Lischke, Lars  and  Kuhn, Jonas},
  title     = {NLATool: an Application for Enhanced Deep Text Understanding},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico},
  publisher = {Association for Computational Linguistics},
  pages     = {118--122},
  abstract  = {Today, we see an ever growing number of tools supporting text annotation. Each of these tools is optimized for specific use-cases such as named entity recognition. However, we see large growing knowledge bases such as Wikipedia or the Google Knowledge Graph. In this paper, we introduce NLATool, a web application developed using a human-centered design process. The application combines supporting text annotation and enriching the text with additional information from a number of sources directly within the application. The tool assists users to efficiently recognize named entities, annotate text, and automatically provide users additional information while solving deep text understanding tasks.},
  url       = {http://www.aclweb.org/anthology/C18-2026}
}