CharMoral: A Character Morality Dataset for Morally Dynamic Character Analysis in Long-Form Narratives

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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.

Original languageEnglish
Title of host publicationMain Conference
EditorsOwen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert
PublisherAssociation for Computational Linguistics (ACL)
Pages8809-8818
Number of pages10
ISBN (Electronic)9798891761964
StatePublished - 2025
Event31st International Conference on Computational Linguistics, COLING 2025 - Abu Dhabi, United Arab Emirates
Duration: 19 Jan 202524 Jan 2025

Publication series

NameProceedings - International Conference on Computational Linguistics, COLING
ISSN (Print)2951-2093

Conference

Conference31st International Conference on Computational Linguistics, COLING 2025
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period19/01/2524/01/25

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