基于动态约束增强型CasRel的领域知识图谱自动化构建方法
本发明涉及自然语言处理与知识图谱技术领域,尤其涉及基于动态约束增强型CasRel的领域知识图谱自动化构建方法。本发明新增基于大语言模型提示学习的动态关系管理模块,突破了传统模型预定义关系模式的限制,显著提升了知识图谱的覆盖度与领域适配性。本发明引入类型感知过滤机制,有效减少了尾实体识别阶段的计算冗余,在长文本复杂场景下计算效率提升明显,同时降低了类型冲突导致的抽取错误。
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