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DATA QUERY METHOD AND SYSTEM, COMPUTER DEVICE, AND STORAGE MEDIUM

机译:数据查询方法和系统,计算机设备和存储介质

摘要

The present application relates to the field of big data, and provides a data query method, comprising: receiving a first request carrying a first original statement; classifying the first original statement to generate a sequence annotation resu acquiring a preset self-attention matrix parameter and, on the basis of said self-attention matrix parameter and of the sequence annotation result, generating a plurality of word attention matrices; generating, on the basis of the plurality of word attention matrices, a plurality of intention stream parsing results;querying said intention stream parsing results by means of a knowledge graph library so as to obtain query results. By means of relating multiple-intent words and non-intent words through intent extraction and a self-attention mechanism, the present application effectively resolves the problem of inaccurate query results when multiple intentions are present in an original query statement, thus enhancing query efficiency.
机译:本申请涉及大数据领域,并提供数据查询方法,包括:接收携带第一原始语句的第一请求; 对第一个原始语句进行分类以生成序列注释结果; 获取预设的自我注意矩阵参数,并根据所述自我注意矩阵参数和序列注释结果,产生多个Word注意矩阵; 基于多个单词注意矩阵生成多个意图流分析结果;通过知识图库查询所述意图流解析结果,以便获得查询结果。 通过通过意图提取和自我关注机制来关联多型词语和非意图词语,当前应用程序有效地解决了在原始查询语句中存在多个意图时,有效地解决了查询结果的问题问题,从而提高了查询效率。

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