@inproceedings{113e359b4f8449428bd2a462a030f180,
title = "Extended Abstract: Predicting the Morality of a Character Using Character-Centric Embeddings",
abstract = "Story generation and analysis have been researched for decades using AI and Natural Language Processing technology. However, while ethics is becoming essential for developing AI applications, little research deals with morality in the narrative. We present the framework to build embeddings for representing characters in terms of the character's morality. In addition, we propose a morality judgment task using storybooks. We conduct experiments, and the results suggest that word embedding models can learn a character's morality.",
keywords = "Masked Language Modeling, Morals, Story Character Embedding",
author = "Bae, \{Su Young\} and Kim, \{Eun Chong\} and Cheong, \{Yun Gyung\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023 ; Conference date: 13-02-2023 Through 16-02-2023",
year = "2023",
doi = "10.1109/BigComp57234.2023.00076",
language = "English",
series = "Proceedings - 2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "345--346",
editor = "Hyeran Byun and Ooi, \{Beng Chin\} and Katsumi Tanaka and Sang-Won Lee and Zhixu Li and Akiyo Nadamoto and Giltae Song and Young-guk Ha and Kazutoshi Sumiya and Wu Yuncheng and Hyuk-Yoon Kwon and Takehiro Yamamoto",
booktitle = "Proceedings - 2023 IEEE International Conference on Big Data and Smart Computing, BigComp 2023",
}