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Contract text risk detection method, device and equipment and storage medium

A risk detection and text technology, applied in the fields of natural language processing and semantic computing, can solve the problems of inaccurate contract text parsing and risk judgment, and achieve the effect of improving the accuracy rate

Pending Publication Date: 2019-06-21
ZTE CORP
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Problems solved by technology

[0006] A contract text risk detection method, device, equipment, and storage medium provided by the embodiment of the present invention solve the problem of inaccurate contract text analysis and risk judgment

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  • Contract text risk detection method, device and equipment and storage medium
  • Contract text risk detection method, device and equipment and storage medium
  • Contract text risk detection method, device and equipment and storage medium

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Embodiment Construction

[0043] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described below are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0044] figure 1 is the contract text risk detection flowchart provided by the embodiment of the present invention, such as figure 1 As shown, the steps include:

[0045] Step S101: According to the business field to which the contract text to be detected belongs, obtain a clause classification model corresponding to the business field.

[0046] Before step S101, it also includes: building a clause classification model for classifying the clauses of the contract text, using the training contract text in the business field to train the constructed clause classification model, and obtaining a performance-optimized clause classification model . During spec...

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Abstract

The invention discloses a contract text risk detection method, device and equipment and a storage medium, and relates to the fields of natural language processing, semantic calculation and the like, the method comprises the following steps: obtaining a clause classification model corresponding to a business field according to the business field to which a contract text to be detected belongs; using the clause classification model to classify clauses of the contract text to obtain the clause text of the contract text and a corresponding clause type; performing risk assessment on the clause textof each clause type, and determining the risk degree of the clause text of each clause type. According to the embodiment of the invention, the risk detection of the to-be-detected contract text is realized through the classification module and the deep semantic matching model which are obtained through training based on a large number of contract texts, risk reminding is carried out on a client,specific words or phrases and manual setting rules are not needed, and the contract text analysis and risk judgment accuracy is improved.

Description

technical field [0001] The present invention relates to the fields of natural language processing and semantic calculation, and in particular to a contract text risk detection method, device, equipment and storage medium. Background technique [0002] In recent years, with the standardization of contract texts and the advancement of natural language processing, some companies have used natural language technology to automatically analyze commercial contracts. Part of the basic work of commercial contracts can be pre-processed by machines, thereby reducing manpower and improving efficiency. [0003] The existing technology mainly selects some specific words or phrases as features manually or semi-automatically, and then uses preset rules or machine learning algorithms to analyze the contract text, thereby completing the work of document analysis and refereeing. [0004] For this type of scheme, it is necessary to manually extract characteristic words, and use preset rules to ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06Q10/06
Inventor 许慢牛国扬陈虹温海娇邓钊
Owner ZTE CORP
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