Method for extracting fault-tolerant information of contract document based on graph attention network

Abstract

The invention provides a contract document fault-tolerant information extraction method based on a graph attention network, and relates to the technical field of computers and information processing. The method comprises the following steps: firstly, performing character recognition on a contract through an OCR (Optical Character Recognition) engine to obtain text content and corresponding position coordinates; text information features are extracted, wherein the text information features comprise position vectors of text information and word embedding expressions of text character strings; taking features extracted from the contract document as graph node features, and constructing a fault-tolerant contract text relation graph; then setting each layer structure and an activation function of the graph attention network; inputting the training set into the constructed graph attention network for training until the loss function converges; and finally, modeling a contract to be recognized into a text relation graph, inputting the text relation graph into the trained graph attention network, and finally obtaining the category of text information. According to the method, the dislocation information extraction of the contract document is realized, and the method has higher recognition efficiency and accuracy compared with the existing information extraction technology after OCR, and is beneficial to office intelligentization.

Description

technical field [0001] The invention relates to the technical field of computer and information processing, in particular to a method for extracting fault-tolerant information of a contract document based on a graph attention network. Background technique [0002] With the development of network and computer technology, computer intelligent algorithms have been widely used in Internet finance, Internet government affairs and other fields as business auxiliary technology. Among them, optical character recognition (OCR), as the core key technology, has played a pivotal role: commercial banks, insurance and other financial industries often use OCR technology to realize automatic recognition of receipts, invoices or contract contents, so as to avoid cumbersome work by staff. Input operation to improve work efficiency and improve user experience; in the field of Internet + government services, using COR technology to identify key information of proof materials such as house purch...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to realize a fault-tolerant information extraction method of contract documents based on graph attention network, so as to solve the problem in the prior art that "when the text printing in the original standard image is misplaced, the system information extraction algorithm will suffer from printing misalignment". Influenced by the problem, resulting in errors in the recognition results", it has better accuracy in extracting misplaced information in standard images

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