Contract term review method and device based on clustering algorithm, computer equipment and storage medium

Abstract

The embodiment of the invention discloses a contract term review method and device based on a clustering algorithm, computer equipment and a storage medium. The method comprises the following steps: splitting a training contract text into contract terms according to a title-level format, clustering the contract terms by utilizing a clustering algorithm so as to divide the contract terms into a plurality of contract types, and establishing a term library according to the divided contract types; when a contract text to be reviewed is received, firstly, judging the contract type of a to-be-reviewed contract text; and then according to the contract type of the to-be-evaluated contract text, obtaining a contract term corresponding to the contract type from the term library, performing similarity calculation on the contract term and the to-be-evaluated contract term in the to-be-evaluated contract, and if the similarity is lower than a preset threshold, determining that the contract term ofthe to-be-evaluated contract text is missing. The method provided by the embodiment of the invention is based on an artificial intelligence technology, and by implementing the method provided by the embodiment of the invention, the same granularity can be ensured, the review accuracy is improved and human resources are saved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, and in particular, to a method, device, computer equipment and storage medium for evaluating contract terms based on a clustering algorithm. Background technique [0002] At present, in the field of contract clause evaluation, the lack of necessary contract clauses is the most basic part of traditional legal evaluation. With the progress and development of the law, there are a wide variety of terms and a huge number of terms, and the review of contract terms will consume a lot of manpower. Therefore, it has become the general trend to deal with such complex mechanical problems through machines. The commonly used processing logic of the commonly used AI contract review model is to manually label each risk clause in different types of contracts, and then perform similarity matching on the contract content based on the labelled clause samples, and then indicate the absence. However,...

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Problems solved by technology

[0003] The embodiment of the present invention provides a method, device, computer equipment and storage medium for reviewing contract clauses based on a clustering algorithm, aiming to solve the problem of increased model calculation, similarity matching errors and low accuracy caused by different labeling granularity of samples The problem

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