@inproceedings{blessing-etal-2017-end,
    title = "An End-to-end Environment for Research Question-Driven Entity Extraction and Network Analysis",
    author = "Blessing, Andre  and
      Echelmeyer, Nora  and
      John, Markus  and
      Reiter, Nils",
    editor = "Alex, Beatrice  and
      Degaetano-Ortlieb, Stefania  and
      Feldman, Anna  and
      Kazantseva, Anna  and
      Reiter, Nils  and
      Szpakowicz, Stan",
    booktitle = "Proceedings of the Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/W17-2208/",
    doi = "10.18653/v1/W17-2208",
    pages = "57--67",
    abstract = "This paper presents an approach to extract co-occurrence networks from literary texts. It is a deliberate decision not to aim for a fully automatic pipeline, as the literary research questions need to guide both the definition of the nature of the things that co-occur as well as how to decide co-occurrence. We showcase the approach on a Middle High German romance, \textit{Parzival}. Manual inspection and discussion shows the huge impact various choices have."
}