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arXiv · 1805.06533

Modeling Naive Psychology of Characters in Simple Commonsense Stories

Hannah Rashkin·Antoine Bosselut·Maarten Sap·Kevin Knight·Yejin Choi
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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.

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Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi. 2018-05-16. Modeling Naive Psychology of Characters in Simple Commonsense Stories. https://arxiv.org/abs/1805.06533

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