@InProceedings{white-EtAl:2018:Demos,
  author    = {White, Lyndon  and  Togneri, Roberto  and  Liu, Wei  and  Bennamoun, Mohammed},
  title     = {NovelPerspective: Identifying Point of View Characters},
  booktitle = {Proceedings of ACL 2018, System Demonstrations},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {7--12},
  abstract  = {We present NovelPerspective: a tool to allow consumers to subset their digital literature, based on point of view (POV) character. Many novels have multiple main characters each with their own storyline running in parallel. A well-known example is George R. R. Martin's novel: ``A Game of Thrones'', and others from that series. Our tool detects the main character that each section is from the POV of, and allows the user to generate a new ebook with only those sections. This gives consumers new options in how they consume their media; allowing them to pursue the storylines sequentially, or skip chapters about characters they find boring. We present two heuristic-based baselines, and two machine learning based methods for the detection of the main character.},
  url       = {http://www.aclweb.org/anthology/P18-4002}
}