Stylized Story Generation with Style-Guided Planning

Abstract

Current storytelling systems focus more on generating stories with coherent plots regardless of the narration style, which is important for controllable text generation. Therefore, we propose a new task, stylized story generation, namely generating stories with specified style given a leading context. To tackle the problem, we propose a novel generation model that first plans the stylized keywords and then generates the whole story with the guidance of the keywords. Besides, we propose two automatic metrics to evaluate the consistency between the generated story and the specified style. Experiments demonstrates that our model can controllably generate emotion-driven or event-driven stories based on the ROCStories dataset (Mostafazadeh et al., 2016). Our study presents insights for stylized story generation in further research.