用语言结构化事件节点，让自动生成的故事更连贯有逻辑。
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation
- 基于SVO三元组构建剧情节点，确保故事逻辑一致
- 人类偏好评估中胜率84.33%，显著优于现有方法
- 适合需要高质量叙事的创作、游戏或交互应用
故事是人类文化的核心，用于传播思想、传承传统和建立联系。自动故事生成作为人工智能的关键进展，为个性化内容创作、创意探索和互动体验提供了新可能。然而，现有方法难以保持叙事连贯性与逻辑一致性，影响整体叙事体验，亟需改进。受人类认知过程启发，我们提出Storyteller，一种系统提升自动生成故事连贯性与一致性的新方法。Storyteller引入基于语言学的主谓宾（SVO）三元组构成的剧情节点结构，捕捉核心故事情节并保证逻辑流动。不同于以往方法，Storyteller融合动态的STORYLINE与叙事实体知识图谱（NEKG），持续参与生成过程，产出结构严谨、连贯且沉浸的叙事。大量实验表明，Storyteller在人类偏好评估中平均胜率达84.33%，同时在创造力、连贯性、吸引力和相关性等方面也大幅领先现有方法。
原文摘要 · Abstract (English)
Stories are central to human culture, serving to share ideas, preserve traditions, and foster connections. Automatic story generation, a key advancement in artificial intelligence (AI), offers new possibilities for creating personalized content, exploring creative ideas, and enhancing interactive experiences. However, existing methods struggle to maintain narrative coherence and logical consistency. This disconnect compromises the overall storytelling experience, underscoring the need for substantial improvements. Inspired by human cognitive processes, we introduce Storyteller, a novel approach that systemically improves the coherence and consistency of automatically generated stories. Storyteller introduces a plot node structure based on linguistically grounded subject verb object (SVO) triplets, which capture essential story events and ensure a consistent logical flow. Unlike previous methods, Storyteller integrates two dynamic modules, the STORYLINE and narrative entity knowledge graph (NEKG),that continuously interact with the story generation process. This integration produces structurally sound, cohesive and immersive narratives. Extensive experiments demonstrate that Storyteller significantly outperforms existing approaches, achieving an 84.33% average win rate through human preference evaluation. At the same time, it is also far ahead in other aspects including creativity, coherence, engagement, and relevance.
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