@InProceedings{vanmeersbergen-EtAl:2017:NLPmJ,
  author    = {van Meersbergen, Maarten  and  Vossen, Piek  and  van der Zwaan, Janneke  and  Fokkens, Antske  and  van Hage, Willem  and  Leemans, Inger  and  Maks, Isa},
  title     = {Storyteller: Visual Analytics of Perspectives on Rich Text Interpretations},
  booktitle = {Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {37--45},
  abstract  = {Complexity of event data in texts makes it difficult to assess its content,
	especially when considering larger collections in which different sources
	report on the same or similar situations. We present a system that makes it
	possible to visually analyze complex event and emotion data extracted from
	texts. We show that we can abstract from different data models for events and
	emotions to a single data model that can show the complex relations in four
	dimensions. The visualization has been applied to analyze 1) dynamic
	developments in how people both conceive and express emotions in theater plays
	and 2) how stories are told from the perspectyive of their sources based on
	rich event data extracted from news or biographies.},
  url       = {http://www.aclweb.org/anthology/W17-4207}
}