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Supervised machine learning apparatus, supervised machine learning method, and supervised machine learning program

机译:监督机器学习设备,监督机器学习方法和监督机器学习程序

摘要

When the boundary between correct answers of a plurality of facts provided adjacent to each other is different from the boundary of a morpheme as a result of morpheme analysis, the correct answers are effectively used for machine learning. A supervised machine learning device that extracts facts for correct answers attached to training data from test data, based on the feature values of each morpheme constituting the training data and the first new training data. A learning unit that generates a model for extracting a fact from the first new training data and extracting a first new fact from the first new training data, and a relationship between the model and the facts identified by a predetermined label And extracting a first new fact identified by the first new label and the first new label from the training data, and a first new fact including the extracted first new fact And a generation unit for generating various training data.
机译:作为词素分析的结果,当彼此相邻设置的多个事实的正确答案之间的边界与词素的边界不同时,正确答案有效地用于机器学习。一种受监督的机器学习设备,其基于构成训练数据的每个词素的特征值和第一个新的训练数据,从测试数据中提取附加到训练数据的正确答案的事实。学习单元,其生成用于从第一新训练数据中提取事实并从第一新训练数据中提取第一新事实的模型,以及该模型与由预定标签标识的事实之间的关系,并提取第一新事实通过训练数据中的第一个新标签和第一个新标签以及包括所提取的第一个新事实的第一个新事实和用于生成各种训练数据的生成单元来识别第一个新标签。

著录项

  • 公开/公告号JPWO2015083293A1

    专利类型

  • 公开/公告日2017-03-16

    原文格式PDF

  • 申请/专利权人 株式会社日立製作所;

    申请/专利号JP20150551363

  • 发明设计人 浅野 優;岩山 真;

    申请日2013-12-06

  • 分类号G06F17/27;

  • 国家 JP

  • 入库时间 2022-08-21 13:53:55

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