@InProceedings{rashkin-EtAl:2018:Long2,
  author    = {Rashkin, Hannah  and  Bosselut, Antoine  and  Sap, Maarten  and  Knight, Kevin  and  Choi, Yejin},
  title     = {Modeling Naive Psychology of Characters in Simple Commonsense Stories},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {2289--2299},
  abstract  = {Understanding a narrative requires reading between the lines and reasoning about the unspoken but obvious implications about events and people’s mental states — a capability that is trivial for humans but remarkably hard for machines. To facilitate research addressing this challenge, we introduce a new annotation framework to explain naive psychology of story characters as fully-specified chains of mental states with respect to motivations and emotional reactions. Our work presents a new large-scale dataset with rich low-level annotations and establishes baseline performance on several new tasks, suggesting avenues for future research.},
  url       = {http://www.aclweb.org/anthology/P18-1213}
}