PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation
Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Spandana Gella, Apurv Verma, Tagyoung Chung, Jing Huang, and Nanyun Peng, in 4th Workshop on NLP for Positive Impact at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Abstract
Bib Entry
@inproceedings{tsai2024pgstory,
author = {Tsai, Alicia Y. and Oraby, Shereen and Narayan-Chen, Anjali and Cervone, Alessandra and Gella, Spandana and Verma, Apurv and Chung, Tagyoung and Huang, Jing and Peng, Nanyun},
title = {PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation},
booktitle = {4th Workshop on NLP for Positive Impact at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
year = {2024}
}
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