Current storytelling systems focus more ongenerating stories with coherent plots regard-less of the narration style, which is impor-tant for controllable text generation. There-fore, we propose a new task, stylized story gen-eration, namely generating stories with speci-fied style given a leading context. To tacklethe problem, we propose a novel generationmodel that first plans the stylized keywordsand then generates the whole story with theguidance of the keywords. Besides, we pro-pose two automatic metrics to evaluate theconsistency between the generated story andthe specified style. Experiments demonstratesthat our model can controllably generateemo-tion-driven orevent-driven stories based onthe ROCStories dataset (Mostafazadeh et al.,2016). Our study presents insights for stylizedstory generation in further research.
@article{arxiv.2105.08625,
title = {Stylized Story Generation with Style-Guided Planning},
author = {Xiangzhe Kong and Jialiang Huang and Ziquan Tung and Jian Guan and Minlie Huang},
journal= {arXiv preprint arXiv:2105.08625},
year = {2021}
}
Comments
9 pages, 3 figures. Accepted by Findings of ACL 2021