%0 Conference Proceedings %T Modeling Naive Psychology of Characters in Simple Commonsense Stories %A Rashkin, Hannah %A Bosselut, Antoine %A Sap, Maarten %A Knight, Kevin %A Choi, Yejin %Y Gurevych, Iryna %Y Miyao, Yusuke %S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) %D 2018 %8 July %I Association for Computational Linguistics %C Melbourne, Australia %F rashkin-etal-2018-modeling %X 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. %R 10.18653/v1/P18-1213 %U https://aclanthology.org/P18-1213 %U https://doi.org/10.18653/v1/P18-1213 %P 2289-2299