@inproceedings{white-etal-2018-novelperspective,
    title = "{N}ovel{P}erspective: Identifying Point of View Characters",
    author = "White, Lyndon  and
      Togneri, Roberto  and
      Liu, Wei  and
      Bennamoun, Mohammed",
    editor = "Liu, Fei  and
      Solorio, Thamar",
    booktitle = "Proceedings of {ACL} 2018, System Demonstrations",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-4002",
    doi = "10.18653/v1/P18-4002",
    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.",
}