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SUPERVISED MACHINE LEARNING DEVICE, SUPERVISED MACHINE LEARNING METHOD, AND SUPERVISED MACHINE LEARNING PROGRAM
SUPERVISED MACHINE LEARNING DEVICE, SUPERVISED MACHINE LEARNING METHOD, AND SUPERVISED MACHINE LEARNING PROGRAM
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机译：监督的机器学习设备，监督的机器学习方法和监督的机器学习程序
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摘要
An objective of the present invention is, when boundaries of correct answers of a plurality of facts which are appended adjacently thereto differ from boundaries of morphemes which are a result of a morpheme analysis, to efficaciously utilize these correct answers in machine learning. Provided is a supervised machine learning device which extracts facts from test data with respect to correct answers which are appended to training data, comprising: a learning unit which, on the basis of feature values for each morpheme which configures the training data and first new training data, generates models for extracting facts from the training data and extracting first new facts from first new training data; and a generating unit which, on the basis of the models and relations between the facts which are identified by predetermined labels, extracts from the training data first new labels and the first new facts which are identified by the first new labels, and generates the first new training data which includes the extracted first new facts.
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