论文标题
提示我：互动故事创作的内容诱导方法
Cue Me In: Content-Inducing Approaches to Interactive Story Generation
论文作者
论文摘要
自动产生故事是一个具有挑战性的问题，需要生成有关主题的事件的因果关系和逻辑序列。该域中的先前方法主要集中在一声生成上，在该生成中，语言模型基于用户的初始输入有限的初始输入来输出一个完整的故事。在这里，我们专注于交互式故事生成的任务，在该任务中，用户在生成过程中以提示短语的形式提供模型中级句子抽象。这为人类用户提供了指导故事的界面。我们提出了两种诱导内容的方法，以有效地纳入此其他信息。自动评估和人类评估的实验结果表明，与基线方法相比，这些方法会产生更连贯和个性化的故事。
Automatically generating stories is a challenging problem that requires producing causally related and logical sequences of events about a topic. Previous approaches in this domain have focused largely on one-shot generation, where a language model outputs a complete story based on limited initial input from a user. Here, we instead focus on the task of interactive story generation, where the user provides the model mid-level sentence abstractions in the form of cue phrases during the generation process. This provides an interface for human users to guide the story generation. We present two content-inducing approaches to effectively incorporate this additional information. Experimental results from both automatic and human evaluations show that these methods produce more topically coherent and personalized stories compared to baseline methods.
