COLING 2025main0 citations
CharMoral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives
Suyoung Bae, Gunhee Cho, Yun-Gyung Cheong, Boyang Li
Abstract
This paper introduces CharMoral, a dataset designed to analyze the moral evolution of characters in long-form narratives. CharMoral, built from 1,337 movie synopses, includes annotations for character actions, context, and morality labels. To automatically construct CharMoral, we propose a four-stage framework, utilizing Large Language Models, to automatically classify actions as moral or immoral based on context. Human evaluations and various experiments confirm the framework’s effectiveness in moral reasoning tasks in multiple genres. Our code and the CharMoral dataset are publicly available at https://github.com/BaeSuyoung/CharMoral.
BibTeX
@inproceedings{bae-etal-2025-charmoral,
title = "{C}har{M}oral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives",
author = "Bae, Suyoung and
Cho, Gunhee and
Cheong, Yun-Gyung and
Li, Boyang",
editor = "Rambow, Owen and
Wanner, Leo and
Apidianaki, Marianna and
Al-Khalifa, Hend and
Eugenio, Barbara Di and
Schockaert, Steven",
booktitle = "Proceedings of the 31st International Conference on Computational Linguistics",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.coling-main.589/",
pages = "8809--8818"
}