水利学报2024，Vol.55Issue(8)：920-930,11.DOI:10.13243/j.cnki.slxb.20230643
基于大语言模型辅助的防洪调度规则标签设计方法
Label design method for flood control scheduling rules assisted by LLM
摘要
Abstract
The information extraction of flood control dispatching rules is of great significance for flood control dis-patching automation,and the design of labeling systems is pivotal for information extraction.Traditional designs of-ten have comprehension biases and omissions,leading to issues like overgeneralization and incompleteness.Ad-dressing these imperfections,this research emphasizes the extraction of rules in flood scheduling texts,proposing an enhanced approach for labeling optimization.Large Language Models(LLM)are utilized for tasks like label refine-ment and generation,boosting label precision and clarity,and a technique for extracting entity relationship triplets is also presented for datasets with many labels.Grouping these triplets enhances extraction performance in label-rich datasets.A visual knowledge graph for flood control scheduling using Neo4j is also developed.This research offers foundational insights for future work in flood control scheduling knowledge extraction.关键词
知识抽取/标签设计/防洪调度/知识图谱/自然语言处理Key words
knowledge extraction/label design/flood control scheduling/knowledge graph/natural language processing分类
信息技术与安全科学引用本文复制引用
冯钧,吕志鹏,范振东,孔旭,陆佳民,周思源..基于大语言模型辅助的防洪调度规则标签设计方法[J].水利学报,2024,55(8):920-930,11.基金项目
国家重点研发计划地球观测与导航重点专项(2021YFB3900601) （2021YFB3900601）
国家自然科学基金青年项目(62306007) （62306007）
江苏省水利科技项目(2022002,2023044) （2022002,2023044）
水利部重大科技项目(SKS-2022132) （SKS-2022132）
