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ARTIFICIAL INTELLIGENCE BASED METHOD AND APPARATUS FOR CHECKING TEXT

机译:基于人工智能的文本检测方法及装置

摘要

This disclosure discloses an artificial intelligence based method and apparatus for checking a text. An embodiment of the method comprises: lexing a first to-be-checked text and a second to-be-checked text respectively, determining word vectors of the lexed words to generate a first word vector sequence and a second word vector sequence; inputting the first word vector sequence and the second word vector sequence respectively into a pre-trained convolutional neural network containing at least one multi-scale convolutional layer, identifying vector sequences in a plurality of vector sequences outputted by a last multi-scale convolutional layer as eigenvector sequences, to obtain eigenvector sequence groups respectively corresponding to the texts; combining eigenvector sequences in each eigenvector sequence group to generate a combined eigenvector sequence; and analyzing the generated combined eigenvector sequences to determine whether the first text and the second text pass a similarity check. The embodiment improves the flexibility in checking a text.
机译:本公开公开了一种用于检查文本的基于人工智能的方法和设备。该方法的一个实施例包括:分别对第一待检查文本和第二待检查文本进行分类处理,确定所述分类处理词的词向量,以生成第一词向量序列和第二词向量序列;以及将第一单词向量序列和第二单词向量序列分别输入到包含至少一个多尺度卷积层的预训练卷积神经网络中,将最后一个多尺度卷积层输出的多个向量序列中的向量序列识别为特征向量序列,获得分别对应于文本的特征向量序列组;合并每个特征向量序列组中的特征向量序列,以产生合并的特征向量序列;分析生成的组合特征向量序列,以确定第一文本和第二文本是否通过相似性检查。该实施例提高了检查文本的灵活性。

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