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基于微服务架构的关联性知识问答处理

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知识问答技术是一种针对自然语言分析处理的技术,根据训练的样本数据快速识别问句中的实体及关系、自然语言技术识别问句中的活动内容、不同的检索问题模板匹配识别提问类型、知识图谱中实体的上下位关系给出关联性结论,实现将非结构化的自然语言问题转化为机器与数据库识别的结构化查询语句.为建设智能知识检索应用提供高效、精准的数据服务能力,同时提升了关联性知识问答服务的扩展性.
Association Knowledge Q&A Processing Based on Microservice Architecture
Knowledge Q&A technology is a technology for natural language analysis and processing.It quickly identifies entities and relationships in question sentences based on trained sample data,identifies activity content in question sentences based on natural language technology,matches and identifies question types based on different search question templates,and provides correlation conclusions based on the hierarchical relationships of entities in the graph.The ultimate goal is to transform unstructured natural language problems into structured query statements recognized by machines and databases.To build intelligent knowledge retrieval applications,it can provide efficient and accurate data service capabilities,and at the same tine improve the scalability of related knowledge Q&A services.

data servicenatural language processingknowledge graphunstructuredstructuredknowledge Q&A

罗翼霄、郭胜楠、任海洋

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中国电子科技集团公司第五十四研究所,河北 石家庄 050081

数据服务 自然语言分析处理 知识图谱 非结构化 结构化 知识问答

2024

计算机与网络
工业和信息化部电子无线通信专业情报网

计算机与网络

CHSSCD
影响因子:0.149
ISSN:1008-1739
年,卷(期):2024.50(3)
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