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Semantic relation learning apparatus, semantic relation learning method, and semantic relation learning program

机译:语义关系学习设备,语义关系学习方法和语义关系学习程序

摘要

The semantic relationship learning apparatus 1 combines the language data constituting the plurality of regular data pairs to create a plurality of auxiliary example data pairs, and the language constituting each of the auxiliary example data pairs. A feature-quantity extracting unit 13 that extracts a feature from data, a similarity calculator 14 that calculates a degree of similarity between the feature quantities in each of the auxiliary data pairs, and a plurality of auxiliary data pairs based on the degree of similarity by classifying into a plurality of predetermined similarity ranges, thereby creating a plurality of auxiliary example data sets for learning corresponding to the plurality of similarity ranges; and a selection schedule predetermined based on the plurality of similarity ranges. In the following order, the training data set selection unit 17 that selects any one auxiliary example data set for learning from among a plurality of auxiliary example data sets for learning, and machine learning processing using the selected auxiliary example data set for learning and a plurality of regular data pairs A learning processing unit 18 to perform is provided.
机译:语义关系学习设备1组合构成多个常规数据对的语言数据来创建多个辅助示例数据对,以及构成每个辅助示例数据对的语言。一种特征 - 数量提取单元13,其从数据中提取特征,相似度计算器14,其计算每个辅助数据对中的特征量之间的相似度,以及基于相似度的程度的多个辅助数据对分类为多个预定的相似范围,从而创建多个辅助示例数据集,用于对应于多个相似范围的学习;并且基于多个相似范围预先确定的选择时间表。按以下顺序,训练数据集选择单元17选择用于从用于学习的多个辅助示例数据集中学习的任何一个辅助示例数据集,以及使用所选择的辅助示例数据集进行学习的机器学习处理和多个常规数据对提供学习处理单元18进行执行。

著录项

  • 公开/公告号KR20210088725A

    专利类型

  • 公开/公告日2021-07-14

    原文格式PDF

  • 申请/专利权人 미쓰비시덴키 가부시키가이샤;

    申请/专利号KR20217019768

  • 发明设计人 우치데 하야토;

    申请日2019-01-08

  • 分类号G06N20;G06F16/35;G06F40/30;G06N5/02;

  • 国家 KR

  • 入库时间 2022-08-24 20:07:17

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