We propose a new graph-based framework to reveal relationships among motivations, emotions and actions explicitly given natural language texts. A directed acyclic graph is designed to describe human's nature. Nurture beliefs are incorporated to connect outside events and the human's nature graph. No annotation resources are required due to the power of large language models. Amazon Fine Foods Reviews dataset is used as corpus and food-related motivations are focused. Totally 92,990 relationship graphs are generated, of which 63% make logical sense. We make further analysis to investigate error types for optimization direction in future research.

翻译：我们提出了一种新的基于图的框架，用于从显式给定的自然语言文本中揭示动机、情感与行为之间的关系。设计有向无环图来描述人类天性，并通过后天信念将外部事件与人类天性图相连接。借助大语言模型的能力，该方法无需标注资源。使用亚马逊美食评论数据集作为语料库，重点关注与食物相关的动机。共生成92,990个关系图，其中63%具有逻辑合理性。我们进一步分析错误类型，为未来研究的优化方向提供参考。