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SENTENCE CLASSIFICATION LEARNING DEVICE, SENTENCE CLASSIFICATION DEVICE, SENTENCE CLASSIFICATION LEARNING METHOD AND SENTENCE CLASSIFICATION LEARNING PROGRAM

机译:句子分类学习设备,句子分类设备,句子分类学习方法和句子分类学习程序

摘要

PROBLEM TO BE SOLVED: To provide a sentence classification learning device capable of accurately estimating a classification of a sentence, a sentence classification device, a sentence classification learning method and a sentence classification learning program.;SOLUTION: The sentence classification learning device generates series data having an identity of each sentence as an element for each of a plurality of pieces of learning data on the basis of a plurality of pieces of learning data indicating an object sentence with a classification label attached and reference sentences before and after the object sentence with clue labels attached, a classification label set defining each classification label and a clue label set defining each clue label, calculates the importance of each sentence on the basis of clue labels attached to the reference sentences and the identity of each sentence concerning each of the plurality of pieces of learning data, and learns a classification label estimation model on the basis of the importance of each sentence, the classification label attached to the object sentence and the series data concerning each of the plurality of pieces of learning data.;SELECTED DRAWING: Figure 1;COPYRIGHT: (C)2018,JPO&INPIT
机译:解决的问题:提供一种能够准确估计句子的分类的句子分类学习设备,一种句子分类设备,一种句子分类学习方法以及一种句子分类学习程序。基于指示附有分类标签的对象句子和带有线索的对象句子之前和之后的参考句子的多个学习数据,将每个句子的标识作为多个学习数据中的每一个的元素附加的标签,定义每个分类标签的分类标签集和定义每个线索标签的线索标签集,根据附加到参考句子的线索标签和与多个句子中的每一个有关的每个句子的身份,计算每个句子的重要性。学习数据,并学习分类标签esti基于每个句子的重要性,宾语附带的分类标签以及与多条学习数据中的每条学习数据相关的系列数据的数学模型;选图:图1;版权:(C)2018,JPO&INPIT

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