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Storyline Extraction of Document-Level Events Using Large Language Models
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作者 Ziyang Hu Yaxiong Li 《Journal of Computer and Communications》 2024年第11期162-172,共11页
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 prom... 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. 展开更多
关键词 Document-Level storyline Extraction Timeline Large Language Models topological structure of storyline Prompt Learning
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