Artificial intelligence-based text checking method and device

Abstract

The invention discloses an artificial intelligence-based text checking method and device. One specific implementation mode of the method comprises the following steps: respectively performing word segmentation on a first text to be checked and a second text to be checked, and determining a word vector of each segmented word to generate a first word vector sequence and a second word vector sequence; respectively inputting the first word vector sequence and the second word vector sequence into a pre-trained convolutional neural network including at least one multi-scale convolutional layer, and determining each vector sequence in multiple vector sequences output by the last multi-scale convolutional layer as a feature vector sequence, thus obtaining a feature vector sequence group corresponding to each text; combining all the feature vector sequences in each feature vector sequence group, thus generating a combined feature vector sequence; analyzing the generated combined feature vector sequence, and determining whether the first text and the second text pass through similarity test or not. The implementation mode improves the flexibility of text checking.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, and in particular to an artificial intelligence-based text verification method and device. Background technique [0002] Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Natural language processing in the field of artificial intelligence is an important direction in the field of computer science and artificial intelligence. It studies various theor...

AI Technical Summary

Problems solved by technology

[0003] However, the convolutional neural network used in the existing methods usually only supports a fixed scale (that is, the number of vectors input to the convolution kernel of the convolutional layer of the convolutional neural network each time, which can also be called the window length ) for convolution, so there is a problem of low flexibility for text verification

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