Computational generation of stories is a subfield of computational creativity where artificial intelligence and psychology intersect to teach computers how to mimic humans’ creativity. It helps generate many stories with minimum effort and customize the stories for the users’ education and entertainment needs. Although the automatic generation of stories started to receive attention many decades ago, advances in this field to date are less than expected and suffer from many limitations. This survey presents an extensive study of research in the area of non-interactive textual story generation, as well as covering resources, corpora, and evaluation methods that have been used in those studies. It also shed light on factors of story interestingness.

中文翻译：

---

自动故事生成

故事的计算生成是计算创造力的一个子领域，其中人工智能和心理学相交以教计算机如何模仿人类的创造力。它有助于以最小的努力生成许多故事，并根据用户的教育和娱乐需求定制故事。尽管故事的自动生成在几十年前就开始受到关注，但迄今为止，该领域的进展不如预期，并且受到许多限制。本调查对非交互式文本故事生成领域的研究进行了广泛研究，并涵盖了这些研究中使用的资源、语料库和评估方法。它还揭示了故事有趣的因素。