piwik-script

Deutsch Intern
    Data Science Chair

    Detecting Scenes in Fiction

    We are currently working on models that can segment literary texts into coherent parts, which we call scenes.

    After initially discussing and formally defining the task, we have organised a shared task at KONVENS 2021 to collect new ideas. At the moment, we are working on developing new models that can deal with this complex task.

    Data

    The most recent publicly released dataset is the one from our Shared Task, which is available here.

    Since the annotated texts are protected by copyright, we are not able to distribute them directly, but can only publish the annotations that can be merged with the full texts of the books. You are welcome to contact us for assistance with obtaining the full datasets.

    Contact

    If you are interested in this topic, feel free to contact Albin!

    Publications

    • Shared Task on Scene Segm...
      Shared Task on Scene Segmentation @ KONVENS 2021 Zehe, Albin; Konle, Leonard; Guhr, Svenja; Dümpelmann, Lea; Gius, Evelyn; Hotho, Andreas; Jannidis, Fotis; Kaufmann, Lucas; Krug, Markus; Puppe, Frank; Reiter, Nils; Schreiber, Annekea in Shared Task on Scene Segmentation @ KONVENS 2021 (2021). 1–21.
    • Detecting Scenes in Ficti...
      Detecting Scenes in Fiction: A new Segmentation Task Zehe, Albin; Konle, Leonard; Dümpelmann, Lea; Gius, Evelyn; Hotho, Andreas; Jannidis, Fotis; Kaufmann, Lucas; Krug, Markus; Puppe, Frank; Reiter, Nils; Schreiber, Annekea; Wiedmer, Nathalie in Proceedings of the 16th Conference of the {E}uropean Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (2021).
    • Detection of Scenes in Fi...
      Detection of Scenes in Fiction Gius, Evelyn; Jannidis, Fotis; Krug, Markus; Zehe, Albin; Hotho, Andreas; Puppe, Frank; Krebs, Jonathan; Reiter, Nils; Wiedmer, Nathalie; Konle, Leonard in Proceedings of Digital Humanities 2019 (2019).