@inproceedings{FisseniLawrence2018,
  author    = {Bernhard Fisseni and Faith Lawrence},
  title     = {A Paradigm for Eliciting Story Variation},
  series = {2013 Workshop on Computational Models of Narrative. CMN’13, 4–6 August, 2013, Hamburg, Germany},
  editor    = {Mark A. Finlayson and Bernhard Fisseni and Benedikt L{\"o}we and Jan Christoph Meister},
  publisher = {Dagstuhl},
  address   = {Merzig-Wadern},
  isbn      = {978-3-939897-57-6},
  doi       = {10.4230/OASIcs.CMN.2013.100},
  url       = {https://nbn-resolving.org/urn:nbn:de:0030-drops-41405},
  pages     = {100 -- 105},
  year      = {2018},
  abstract  = {The understanding of story variation, whether motivated by cultural currents or other factors, is important for applications of formal models of narrative such as story generation or story retrieval. We present the first stage of an experiment to elicit natural narrative variation data suitable for evaluation with respect to story similarity, to qualitative and quantitative analysis of story variation, and also for data processing. We also present few preliminary results from the first stage of the experiment, using Red Riding Hood and Romeo and Juliet as base texts.},
  language  = {en}
}