TITLE:
Storyline Extraction of Document-Level Events Using Large Language Models
AUTHORS:
Ziyang Hu, Yaxiong Li
KEYWORDS:
Document-Level Storyline Extraction, Timeline, Large Language Models, Topological Structure of Storyline, Prompt Learning
JOURNAL NAME:
Journal of Computer and Communications,
Vol.12 No.11,
November
27,
2024
ABSTRACT: This article proposes a document-level prompt learning approach using LLMs to extract the timeline-based storyline. Through verification tests on datasets such as ESCv1.2 and Timeline17, the results show that the prompt + one-shot learning proposed in this article works well. Meanwhile, our research findings indicate that although timeline-based storyline extraction has shown promising prospects in the practical applications of LLMs, it is still a complex natural language processing task that requires further research.