@InProceedings{rahimtoroghi-EtAl:2017:W17-55,
  author    = {Rahimtoroghi, Elahe  and  Wu, Jiaqi  and  Wang, Ruimin  and  Anand, Pranav  and  Walker, Marilyn},
  title     = {Modelling Protagonist Goals and Desires in First-Person Narrative},
  booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {August},
  year      = {2017},
  address   = {Saarbrücken, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {360--369},
  abstract  = {Many genres of natural language text are narratively structured, a testament to
	our predilection for organizing our experiences as narratives. There is broad
	consensus that understanding a narrative requires identifying and tracking the
	goals and desires of the characters and their narrative outcomes. However, to
	date, there has been limited work on computational models for this problem. We
	introduce a new dataset, DesireDB, which includes gold-standard labels for
	identifying statements of desire, textual evidence for desire fulfillment, and
	annotations for whether the stated desire is fulfilled given the evidence in
	the narrative context. We report experiments on tracking desire fulfillment
	using
	different methods, and show that LSTM Skip-Thought model achieves F-measure
	of 0.7 on our corpus.},
  url       = {http://aclweb.org/anthology/W17-5543}
}