1 个仓库
Massive entity-relation datasets used as foundational layers for artificial intelligence.
Distinct from Large-Scale Graph Training: Focuses on the data assets themselves, not the training of neural networks on those graphs.
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KnowledgeGraphData 是一个结构化数据集与语料库集合,旨在为认知智能与人工智能系统提供基础层。它主要由大规模中文知识图谱数据集组成,包括用于驱动语义理解与自动问答的实体关系数据与 NLP 训练集。 该项目专注于海量实体-属性-值图谱的构建与导出,将知识组织为可移植的格式。它提供专门的领域划分,以针对医疗、军事与公共安全等专业领域定制信息检索。 该仓库涵盖了广泛的能力,包括中文自然语言处理、语义搜索与认知对话系统。其工具集涵盖了语言分析、实体提取、情感检测与文本摘要,以及用于网站审计的视觉内容分析与语音转文字转换。
Builds and exports massive entity relation datasets to provide a foundational data layer for artificial intelligence systems.