Legal document semantic similarity evaluation method and system based on deep learning model

Abstract

The invention discloses a legal instrument semantic similarity evaluation method and system based on a deep learning model, and the method comprises the steps: 1, obtaining a target legal instrument and a candidate legal instrument, and obtaining the respective samples, sentence vectors and word vectors of the target legal instrument and the candidate legal instrument; 2, performing data augmentation on samples, sentence vectors and word vectors of the target legal instrument and the candidate legal instrument in a semantic similarity calculation model; 3, based on a semantic similarity calculation model and the augmented data, calculating the semantic similarity of the target legal instrument and the candidate legal instrument; and 4, obtaining a semantic similarity calculation result of the target legal instrument and the candidate legal instrument. When the method is applied, the semantic similarity of the target legal instrument and the candidate legal instrument is calculated conveniently, and the judgment accuracy can be improved.

Description

technical field [0001] The invention relates to natural language processing technology, in particular to a method and system for evaluating the semantic similarity of legal documents based on a deep learning model. Background technique [0002] With the popularization of computers and the rapid development of the Internet, we have now entered the information age. The ability of computers to process and analyze big data has become increasingly powerful, and artificial intelligence has also been paid more and more attention by various countries. Humans generate a large amount of text information on the Internet. In the face of massive text data, if manual methods are used to process and analyze text data, there will be problems of low efficiency and cannot meet the needs of the high-speed information age. Therefore, Natural Language Processing (NLP) has become a research hotspot. NLP integrates linguistics, computer science and mathematics, allowing computers to understand te...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problems in the prior art that the evaluation of the similarity of legal documents is time-consuming and expensive, the evaluation is easily affected by human factors, and the accuracy of the evaluation cannot be guaranteed. It provides a semantic similarity of legal documents based on a deep learning model. Degree evaluation method, which is easy to operate when calculating the semantic similarity between target legal documents and candidate legal documents, and can improve the accuracy of judgment

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