论文标题
迈向与角色间关系驱动的故事产生
Towards Inter-character Relationship-driven Story Generation
论文作者
论文摘要
在本文中，我们介绍了为故事产生建模人际关系的任务。为了解决此任务，我们将关系作为故事产生的潜在变量（relisist）。 Relist用句子产生故事，并具有两个主要组成部分 - 一个关系选择者和故事的连续性。关系选择器指定一个潜在变量来选择下一个句子中展示的关系，而故事的连续性则在以连贯的方式表达所选关系时生成下一个句子。我们的自动和人类评估表明，Relist能够通过维持内容质量的同时更忠于所需关系的关系来产生故事。推理期间对句子的关系分配带来了解释性。
In this paper, we introduce the task of modeling interpersonal relationships for story generation. For addressing this task, we propose Relationships as Latent Variables for Story Generation, (ReLiSt). ReLiSt generates stories sentence by sentence and has two major components - a relationship selector and a story continuer. The relationship selector specifies a latent variable to pick the relationship to exhibit in the next sentence and the story continuer generates the next sentence while expressing the selected relationship in a coherent way. Our automatic and human evaluations demonstrate that ReLiSt is able to generate stories with relationships that are more faithful to desired relationships while maintaining the content quality. The relationship assignments to sentences during inference bring interpretability to ReLiSt.
