论文标题
部分可观测时空混沌系统的无模型预测
Psychology-guided Controllable Story Generation
论文作者
论文摘要
在NLP领域,可控的故事产生是一项具有挑战性的任务,近年来引起了研究的兴趣。但是,大多数现有作品都会以指定的关键词或情感为条件,而忽略了主角的心理变化。受到心理学理论的启发,我们介绍了全球心理状态链,其中包括主角的需求和情感,以帮助故事生成系统创建更可控制和精心计划的故事。在本文中,我们提出了一个心理学导致的可控故事系统(PIC),以生成遵守给定的领先环境和主角所需的心理状态链的故事。具体而言,采用心理状态跟踪器来记住主角的当地心理状态以捕捉其内在的时间关系。此外,采用心理国家规划师来获得主角的全球心理状态进行故事计划。最终,心理学控制者旨在将地方和全球心理状态整合到故事上下文表示心理学引导的故事中。自动和手动评估表明,图片的表现优于基准,图片的每个部分都显示出具有更加一致的心理变化的故事的有效性。
Controllable story generation is a challenging task in the field of NLP, which has attracted increasing research interest in recent years. However, most existing works generate a whole story conditioned on the appointed keywords or emotions, ignoring the psychological changes of the protagonist. Inspired by psychology theories, we introduce global psychological state chains, which include the needs and emotions of the protagonists, to help a story generation system create more controllable and well-planned stories. In this paper, we propose a Psychology-guIded Controllable Story Generation System (PICS) to generate stories that adhere to the given leading context and desired psychological state chains for the protagonist. Specifically, psychological state trackers are employed to memorize the protagonist's local psychological states to capture their inner temporal relationships. In addition, psychological state planners are adopted to gain the protagonist's global psychological states for story planning. Eventually, a psychology controller is designed to integrate the local and global psychological states into the story context representation for composing psychology-guided stories. Automatic and manual evaluations demonstrate that PICS outperforms baselines, and each part of PICS shows effectiveness for writing stories with more consistent psychological changes.