Modeling Naive Psychology of Characters in Simple Commonsense Stories
Computation and Language
2018-05-18 v1
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.
Keywords
Cite
@article{arxiv.1805.06533,
title = {Modeling Naive Psychology of Characters in Simple Commonsense Stories},
author = {Hannah Rashkin and Antoine Bosselut and Maarten Sap and Kevin Knight and Yejin Choi},
journal= {arXiv preprint arXiv:1805.06533},
year = {2018}
}
Comments
Accepted to ACL 2018 (long paper)