CN106844554A - A kind of contract classification automatic identifying method and system - Google Patents
A kind of contract classification automatic identifying method and system Download PDFInfo
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- CN106844554A CN106844554A CN201611265396.8A CN201611265396A CN106844554A CN 106844554 A CN106844554 A CN 106844554A CN 201611265396 A CN201611265396 A CN 201611265396A CN 106844554 A CN106844554 A CN 106844554A
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- 238000013135 deep learning Methods 0.000 claims abstract description 5
- 230000007717 exclusion Effects 0.000 claims abstract description 5
- 230000000717 retained effect Effects 0.000 claims description 5
- 230000011218 segmentation Effects 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 2
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Abstract
The invention provides a kind of contract classification automatic identifying method and system, method includes, using the deep learning algorithm for having manual intervention, the keyword of contract intrinsic propesties can not being reflected in exclusion sample；Learnt by great amount of samples, the weight to keyword is configured；The difference of different contract classifications is found out, contract type is judged.This method realizes automatic identification and the classification to Chinese contract using Artificial intellectual technology, and discrimination is very high, has reached the requirement of practical application, solves the problems, such as to lean on user voluntarily to select contract classification to cause legal risk prompting inaccurate at present.
Description
Technical field
The invention belongs to Informatization Service technical field, more particularly, to a kind of contract classification automatic identifying method and it is
System.
Background technology
In market economy, contract plays more and more important role in company's day-to-day operations, how in day-to-day operations
In prevent contract risk and be particularly important.Contract Risk includes the managing risk of contract and the legal risk of contract, contract
Managing risk be management function from contract, and legal risk is gone out from the completeness and validity of contract text
Hair, furthers investigate the design tactics of various clauses.With developing rapidly for artificial intelligence technology, abroad, using computer skill
The research of the artificial intelligence contract law risk automatic identification of art has been achieved for initial achievements；At home, due to the language of Chinese
Adopted automatic identification with English have huge difference, using artificial intelligence technology the research of contract law risk identification also in
Step section.
Because kinds of contract is various, the legal risk of variety classes contract is also different.Therefore, the contract classification of discrimination high
Automatic identification technology turns into realizes the crucial problem that contract law risk is pointed out automatically using computer technology.
The shortcoming of prior art：
1st, during the country is for the research of contract law risk automatic identification at present, employ by user oneself selection contract point
Class, then provides targetedly indicating risk by computer again.Because kinds of contract is various, the boundary mould between contract is of all categories
Paste, general nonlegal professional is difficult accurately to define the contract of oneself cutting class really.Therefore, because user's selection classification is wrong
By mistake, cause contract law indicating risk very inaccurate, it is difficult to reach the requirement of practical application.
2nd, because the language construction of Chinese is different from English, at present also cannot direct foreign successful experience.
The content of the invention
In view of this, the present invention is directed to propose a kind of contract classification automatic identifying method, solves and exist in the prior art
Use Computer Automatic Recognition contract classification when, discrimination problem not high.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
A kind of contract classification automatic identifying method, comprises the following steps：
(1) using the deep learning algorithm for having manual intervention, contract intrinsic propesties keyword can not be reflected in exclusion sample；
(2) learnt by great amount of samples, the weight to keyword is configured；
(3) difference of different contract classifications is found out, contract type is judged.
Further, the step (1) specifically includes following steps：
(1) by internet hunt to all kinds of contract samples, current sample number amount is 1000 parts；
(2) using the reverse segmentation methods of maximum based on dictionary, every class contract frequency of occurrence highest keyword is found out, is pressed
According to the language rule of Chinese, the 3-6 word of Chinese character is screened, remove the keyword of Adjective, retained within 30 per class
Keyword.
Further, the step (2) specifically includes following steps：
(1) different keywords are set with different weights, the keyword for can substantially determine contract type give compared with
Weight high；Keyword for can not substantially determine contract classification gives relatively low weight；
(2) keyword being given in the manner described above and setting weight from 1-50, each increment 10 differentiates 1000 parts of samples successively
Whether the classification of contract is correct, calculates corresponding discrimination, takes wherein discrimination highest as optimal weights.
Further, the step (3) specifically include to feature keyword assign weight ratio it is higher, for area
Divide kinds of contract relatively.
Different weights are assigned using the characteristic key words to variety classes contract, and combines AOI logical operation, reached
Discrimination high.Specific implementation is establishment automatic identification procedure, and intelligent optimization is carried out to weighted value, finds out optimal weights, and
Scope to keyword weight is drafted according to the professional knowledge of professional.
Relative to prior art, a kind of contract classification automatic identifying method of the present invention has the advantage that：We
Method realizes automatic identification and the classification to Chinese contract using Artificial intellectual technology, and discrimination is very high, reaches
The requirement of practical application, solves the problems, such as to lean on user voluntarily to select contract classification to cause legal risk prompting inaccurate at present.
Another object of the present invention is to propose a kind of contract classification automatic recognition system, solve and exist in the prior art
Use Computer Automatic Recognition contract classification when, discrimination problem not high.
To reach above-mentioned purpose, the technical proposal of the invention is realized in this way：
A kind of contract classification automatic recognition system, including
For using the deep learning algorithm for having manual intervention, contract intrinsic propesties keyword can not to be reflected in exclusion sample
Extraction module；
For being learnt by great amount of samples, the setup module being configured to the weight of keyword；
Difference for finding out different contract classifications, judges the discrimination module of contract type.
Further, the extraction module includes
For by internet hunt to all kinds of contract samples, current sample number amount to be 1000 parts of search module；
For using the reverse segmentation methods of maximum based on dictionary, finding out every class contract frequency of occurrence highest keyword,
According to the language rule of Chinese, the 3-6 word of Chinese character is screened, remove the keyword of Adjective, retained within 30 per class
Keyword screening module.
Further, the setup module includes
For different keywords to be set with different weights, the keyword for can substantially determine contract type give compared with
Weight high；Keyword for can not substantially determine contract classification gives the different weight setting modules of relatively low weight；
Weight is set from 1-50 for giving keyword in the manner described above, and each increment 10 differentiates 1000 parts of samples successively
Whether the classification of this contract is correct, calculates corresponding discrimination, takes wherein discrimination highest as the optimal of optimal weights
Weight setting module.
A kind of contract classification automatic recognition system of the present invention has with a kind of above-mentioned contract classification automatic identifying method
There is identical beneficial effect, will not be repeated here.
Brief description of the drawings
The accompanying drawing for constituting a part of the invention is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate, for explaining the present invention, not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of the contract classification automatic identifying method described in the embodiment of the present invention.
Specific embodiment
It should be noted that in the case where not conflicting, the embodiment in the present invention and the feature in embodiment can phases
Mutually combination.
Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in figure 1, a kind of contract classification automatic identifying method specifically includes following steps：
(1) by internet hunt to all kinds of contract samples, current sample number amount is 1000 parts；
(2) using the reverse segmentation methods of maximum based on dictionary, every class contract frequency of occurrence highest keyword is found out, is pressed
According to the language rule of Chinese, the 3-6 word of Chinese character is screened, remove the keyword of Adjective, retained within 30 per class
Keyword.
(3) different weights are set to different keywords.Keyword for can substantially determine contract type give compared with
Weight high, such as " Contracts Cargo Deal concerning foreign affairs " or " outlet deal contract "；For can not substantially determine contract classification
Keyword gives relatively low weight, for example " importer ", " exported country ", " FOB " etc..
(4) keyword being given in the manner described above and setting weight from 1-50, each increment 10 differentiates 1000 parts of samples successively
Whether the classification of contract is correct, calculates corresponding discrimination, takes wherein discrimination highest as optimal weights.
(5) because same keyword can all may occur in different contract classifications.For example：Keyword " loan contract "
" contract of guaranty ", can all occur in loaning bill class contract and in guarantee class contract, and the two keywords are in this two classes contract
The frequency of appearance is all very high, therefore contract classification cannot be made a distinction by the weight of the two words, but " borrowing rate ",
The frequency of occurrence in loan contract such as " life of loan " keyword is higher, therefore these have the weight of the keyword imparting of feature
Compare high.The weight of the characteristic key words of variety classes contract can so be heightened, can effectively distinguish two relatively
Kinds of contract.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention
Within god and principle, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.
Claims (7)
1. a kind of contract classification automatic identifying method, it is characterised in that：Comprise the following steps：
(1) using the deep learning algorithm for having manual intervention, contract intrinsic propesties keyword can not be reflected in exclusion sample；
(2) learnt by great amount of samples, the weight to keyword is configured；
(3) difference of different contract classifications is found out, contract type is judged.
2. a kind of contract classification automatic identifying method according to claim 1, it is characterised in that：The step (1) is specific
Comprise the following steps：
(101) by internet hunt to all kinds of contract samples, current sample number amount is 1000 parts；
(102) using the reverse segmentation methods of maximum based on dictionary, every class contract frequency of occurrence highest keyword is found out, according to
The language rule of Chinese, screens the 3-6 word of Chinese character, removes the keyword of Adjective, and the pass within 30 is retained per class
Keyword.
3. a kind of contract classification automatic identifying method according to claim 1, it is characterised in that：The step (2) is specific
Comprise the following steps：
(201) different weights are set to different keywords, the keyword for can substantially determine contract type gives higher
Weight；Keyword for can not substantially determine contract classification gives relatively low weight；
(202) keyword being given in the manner described above and setting weight from 1-50, each increment 10 differentiates that 1000 parts of samples are closed successively
Whether same classification is correct, calculates corresponding discrimination, takes wherein discrimination highest as optimal weights.
4. a kind of contract classification automatic identifying method according to claim 1, it is characterised in that：The step (3) is specific
Weight ratio including being assigned to the keyword with feature is higher, for distinguishing kinds of contract relatively.
5. a kind of contract classification automatic recognition system, it is characterised in that：Including
For using the deep learning algorithm for having manual intervention, carrying for contract intrinsic propesties keyword can not to be reflected in exclusion sample
Modulus block；
For being learnt by great amount of samples, the setup module being configured to the weight of keyword；
Difference for finding out different contract classifications, judges the discrimination module of contract type.
6. a kind of contract classification automatic recognition system according to claim 5, it is characterised in that：The extraction module includes
For by internet hunt to all kinds of contract samples, current sample number amount to be 1000 parts of search module；
For using the reverse segmentation methods of maximum based on dictionary, finding out every class contract frequency of occurrence highest keyword, according to
The language rule of Chinese, screens the 3-6 word of Chinese character, removes the keyword of Adjective, and the pass within 30 is retained per class
The screening module of keyword.
7. a kind of contract classification automatic recognition system according to claim 5, it is characterised in that：The setup module includes
For setting different weights to different keywords, for can substantially determine that the keyword of contract type is given compared with Gao Quan
Weight；Keyword for can not substantially determine contract classification gives the different weight setting modules of relatively low weight；
Weight is set from 1-50 for giving keyword in the manner described above, and each increment 10 differentiates that 1000 parts of samples are closed successively
With classification it is whether correct, calculate corresponding discrimination, take the optimal weights of wherein discrimination highest as optimal weights
Setup module.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110019819A (en) * | 2019-03-26 | 2019-07-16 | 方正株式(武汉)科技开发有限公司 | Method of generating classification model, electronic contract automatic content classification method and device |
| CN110119464A (en) * | 2019-05-09 | 2019-08-13 | 韶关市启之信息技术有限公司 | The intelligent recommendation method and device of numerical value in a kind of contract |
| CN110826321A (en) * | 2019-09-19 | 2020-02-21 | 平安科技（深圳）有限公司 | Contract file risk checking method and device, computer equipment and storage medium |
| CN111950891A (en) * | 2020-08-10 | 2020-11-17 | 云南电网有限责任公司信息中心 | Contract legal risk management and control method based on artificial intelligence NLP technology |
| CN113936289A (en) * | 2021-12-17 | 2022-01-14 | 中航金网(北京)电子商务有限公司 | Cutter contract identification method and device, electronic equipment and medium |
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