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NON-FACTOID TYPE QUESTION ANSWERING MACHINE

机译:非要素型问题答录机

摘要

To provide a non-factoid type question answering machine capable of giving precise answers with high accuracy to non-factoid type questions.SOLUTION: A question answering device 124 comprises: a general word vector converting unit 210 for converting questions and answers into semantic vectors according to general context; general sentence level CNN 214 for weighting each semantic vector to calculate an expression at a sentence level of the question and answer corresponding to the similarity of the semantic vector between words in the question and words in the answer and the strength of causal relation between the words; a general passage level CNN 218 for weighing the sentence level expression in response to the similarity between the sentence level expressions of the question and the sentence level expressions of the answer and the strength of relation of the vector in the sentence level expression viewed from the causal relation, to calculate passage level expressions for the question and answer passage; and a classifier 184 for determining whether or not the answer is correct based on the similarity between the outputs of the CNN 214 and CNN 218.SELECTED DRAWING: Figure 10
机译:为了提供一种非事实类问题答题机,能够对非事实类问题给出高精度的准确答案。解决方案:问题回答装置124包括:通用词向量转换单元210,用于将问题和答案转换为语义向量。在一般情况下一般句子级别CNN 214,用于对每个语义矢量进行加权,以计算与该问题中的单词和答案中的单词之间的语义矢量的相似性以及单词之间的因果关系的强度相对应的问题和答案的句子级别的表达;一般通过级别CNN 218,用于响应问题的句子级别表达和答案的句子级别表达之间的相似性以及从因果关系看句子级别表达中的矢量的关系强度,对句子级别表达进行加权关系,计算问答段落的段落表达水平;以及分类器184,用于基于CNN 214和CNN 218的输出之间的相似性来确定答案是否正确。

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