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A METHOD AND APPARATUS FOR RECOMMENDING STANDARDIZED TERM BASED ON THE HIERACY INFORMATION

机译:一种基于层次结构的标准化术语的方法和装置

摘要

According to an embodiment, a standardized term recommendation method using hierarchical information includes: extracting a word vector from input source data; converting the extracted word vector into a sentence vector through an encoder; determining a degree of similarity between the source data converted into the sentence vector and the standard term based on machine learning; and recommending a standard term mapped to the input source data based on the determined degree of similarity, wherein the degree of similarity may be corrected based on hierarchical information of the standard term.
机译:根据一个实施例,使用分层信息的标准化术语推荐方法包括:从输入源数据中提取单词矢量;通过编码器将提取的单词矢量转换为句子向量;确定转换为句子向量的源数据与基于机器学习的标准术语之间的相似性;并且推荐基于确定的相似度映射到输入源数据的标准术语,其中可以基于标准术语的分层信息来校正相似度的程度。

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