[2F5-OS-39b] OS-39

[2F5-OS-39b-01] Towards automatic full-length story generation based on the hierarchical structure of existing works

〇HAJIME MURAI¹ (1. Future University Hakodate)

[[Online]]

Keywords:Story, Generation, Hierarchy

With the rapid development of large-scale language models, automatic generation of short stories is already reaching a practical stage, when those are limited to specific genres or styles with high typicality. In addition, it is becoming possible to generate plot level general stories that cross genres or combine genres. On the other hand, although there have been various attempts to automatically generate stories with complex structures such as long works, it is difficult to say that this has been fully realized. In this study, existing works were first decomposed into short patterns ofshort plots, and quantified the characteristics of the complex structure of stories by converting the combination structures of these patterns, such as nesting, succession, and parallelism, into data. In addition, a hierarchical narrative structure generation system was created using the extracted structural features and plot patterns in existing works. After generating a base story, the system further subdivides each plot, lengthens the story hierarchically, and verbalizes it using a large-scale language model. The constructed system can also be used to lengthen existing story works based on their structures. In the future, an evaluation experiment of the validity of the output results and the controllability of diversity are plannned.