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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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战场目标选择指标设计
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作者 刘俊 李亚雄 刘世刚 《运筹与模糊学》 2024年第4期548-556,共9页
为解决现代战争背景下目标选择指标体系构建问题,通过分析目标选择影响因素,提出目标重要性(目标价值)、目标威胁性和打击可行性三类目标选择指标。着眼体系对抗的角度,从目标体系属性和任务属性对目标价值的影响展开论述。并以注意力... 为解决现代战争背景下目标选择指标体系构建问题,通过分析目标选择影响因素,提出目标重要性(目标价值)、目标威胁性和打击可行性三类目标选择指标。着眼体系对抗的角度,从目标体系属性和任务属性对目标价值的影响展开论述。并以注意力机制作用过程分析指挥员作战意图对目标选择指标构建和目标选择工作的影响。 展开更多
关键词 现代战争 目标选择 指标构建 注意力机制
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