53 results about "Contract type" patented technology

The invention provides a method for training a small parameter model for automatic analysis of electric power contract terms and a computing device, and the method comprises the steps: obtaining contract data, carrying out the preprocessing of the contract data, and converting the contract data into a standardized paragraph list; analyzing the standardized paragraph list through a large language model, and outputting a labeled structured data set as training data; fine tuning training is conducted on the small-parameter model through the training data, the fine-tuned small-parameter model is obtained, and the fine-tuned small-parameter model outputs clause classification labels and extracted clause key fields in the reasoning stage according to the input unlabeled contract paragraph text. According to the technical scheme of the invention, the clause extraction precision and efficiency can be improved, the calculation cost can be greatly reduced, the field adaptability can be enhanced, the clause change and the newly added contract type of the power industry can be quickly adapted, and an innovative solution can be provided for intelligent contract management.

The embodiment of the invention discloses a contract review method and a related product, which are used for improving the efficiency and accuracy of contract review. According to the embodiment of the invention, the to-be-examined contract is fragmented, and at least one first feature tag is allocated to each fragment, so that the content of the whole to-be-examined contract can be split into smaller structured units, and the precision and speed of subsequent retrieval can be improved through the first feature tags. By determining the target review scheme corresponding to the contract to be reviewed, the review items can be flexibly adjusted according to different contract types, and the applicability is improved. And the to-be-reviewed data set is extracted in combination with multiple retrieval algorithms of different dimensions, so that missing detection of key to-be-reviewed data can be avoided, and the contract content matching accuracy is improved. As the data set input into the contract review model is screened and only contains the to-be-reviewed data set related to the review item, the misjudgment rate of the contract review model can be effectively reduced finally, and the accuracy of the review result is improved.

The invention relates to the technical field of intelligent data processing, in particular to a contract abstract generation method and system. According to the method, the type of the contract text is determined, the association tag is given according to the content of the contract terms, then the importance of each term is determined according to the content of each term, the contract type and the association tag of each term, and related terms are further screened in combination with and / or current system attributes to serve as the target text to generate the contract abstract. According to the scheme, the importance degree of each term in the current contract text can be identified in a targeted manner, so that the corresponding key term content can be extracted in a targeted manner to serve as a text basis for abstract generation; the links of contract type judgment, clause label identification, clause importance judgment and clause importance screening are incorporated into the technical scheme of the contract abstract, so that the purpose that the contract abstract is concise and choking is achieved, and the abstract generation accuracy is greatly improved.

The invention provides a contract processing method and device based on artificial intelligence, an intelligent agent, electronic equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence, in particular to the technical fields of large models, content generation, contract editing, examination and management and the like. According to the specific implementation scheme, the method comprises the steps of determining contract type information of a to-be-generated contract based on interaction operation information, related to a contract generation intention, of a target object; based on the contract type information of the to-be-generated contract, displaying recommendation information for describing the to-be-generated contract in an input box of the interactive interface; and in response to a recommendation information-based determination operation of the target object, inputting the recommendation information and the contract type information into the contract generation large model to obtain a contract template.

The invention relates to a natural language processing technology, and discloses an electronic contract key information extraction method, system and device and a medium. The method comprises the following steps: performing a first round of keyword extraction on a contract text corresponding to an electronic contract through a preset large language model and a preset cue word to obtain a keyword text corresponding to the contract text; judging whether the keyword text meets a preset condition or not; the preset condition comprises a preset format and a preset field requirement; if the preset condition is met, obtaining a target keyword text corresponding to a keyword in the keyword text; and obtaining a text coordinate corresponding to the target keyword text in the contract text, and labeling the keyword text according to the text coordinate. According to the method, the preset large language model and the natural language processing technology are combined, the connection of electronic contract management and key information extraction can be dynamically enhanced, the extracted contract type is expanded, the early-stage model training cost and development cost are reduced, and the flexibility and expandability are improved.

The invention provides an intelligent electronic contract auditing and risk early warning method based on AI, and belongs to the field of contract auditing, and the method comprises the following steps: building a standard database for contract auditing, carrying out the pre-classification of contract types, selecting one contract from contracts of the same type as a standard template, and carrying out the risk early warning of the contracts; the standard templates are imported into a standard database to serve as templates, and each input standard template is classified and marked; a general auditing process and an independent auditing process are set for each type of contract, the general auditing process is used for comparing and verifying each preset item in the standard template with the contract signed by adopting the standard template, and target marking is carried out on distinguishing points in the general auditing process; wherein in the independent auditing process, terms added in a standard template are subjected to cross auditing, similar contracts of the same kind are selected through classification marking, and the whole contract is traversed to select similar terms for comparison auditing.

The invention provides an intelligent contract management method, and the method comprises the steps: receiving a contract drafting instruction, and generating an initial contract according to a contract type indicated by the contract drafting instruction, a contract template in a template library of a data center, and terms in a term library; modifying the initial contract according to the negotiation modification information to obtain an intermediate contract; reviewing the intermediate contract according to a relative party database and a performance rule base of the data center and a reviewing model in the intelligent processing center to obtain a reviewing result, and correcting the intermediate contract according to the reviewing result to obtain a target contract; performing approval processing and signing processing on the target contract to obtain a signed target contract; and determining a performance task and archiving information in the target contract, monitoring the target contract according to the performance task, and storing the archiving information to the data center. And intelligent management of contracts is realized.

The invention relates to the field of contract risk control, and discloses a contract identification method and device based on artificial intelligence, equipment and a storage medium. The method comprises the following steps: marking historical contract data to obtain a training data set; training the initial contract information extraction model through the training data set to obtain a trained contract information extraction model; generating a dynamic identification template set adaptive to different contract types based on historical contract data; respectively extracting key information of the offline target contract data and the online reference contract data by using the trained contract information extraction model and the dynamic recognition template set to obtain offline target contract information and online reference contract information; and through semantic similarity calculation and structured field comparison, identifying the key difference between the offline target contract information and the online reference contract information. According to the method, the problems of low efficiency, poor adaptability and insufficient accuracy in multi-type contract key information extraction and difference comparison of a traditional contract identification method are solved.

The invention relates to the technical field of electronic contracts, and discloses an electronic contract rapid generation management method, which comprises the steps of receiving contract request information input by a target user; determining a target contract type, and extracting target contract content; obtaining a target contract template; generating an initial electronic contract text; forming first adjustment data through a first adjustment judgment strategy; adjusting the initial electronic contract text to form an adjusted electronic contract text; forming second adjustment data through a second adjustment judgment strategy; adjusting the electronic contract text to form a to-be-signed electronic contract text; obtaining signing data; and forming a final electronic contract text. According to the electronic contract rapid generation management method, the contract template can be selected, the initial electronic contract can be generated, when the filled content and the contract information label of the initial electronic contract are staggered, the position of the filled content can be automatically changed, and the accuracy of automatic generation of the electronic contract is improved.

An information processing apparatus includes circuitry. The circuitry installs an application. The circuitry stores, in a memory, installation method information indicating an installation method with which the application is installed in association with a contract type of the application. The circuitry refers to the installation method information and the contract type to determine whether the application is permitted to be updated at a time of updating the application. The circuitry controls update of the application according to a determination result.

A kind of natural language processing-based new clause position confirmation method and system, natural language processing-based new clause position confirmation method includes: obtaining first contract content, identifying contract type, display corresponding risk point and prompt new clause, according to new clause, the text content of first contract and contract type, obtain the contract chapter theme to which new clause belongs, obtain the text content of the contract chapter to which new clause belongs, and obtain updated clause order by clause order model, then according to chapter clause format, increase the clause number of new clause, increase clause number to corresponding position, while adjusting the clause number of context accordingly, output second contract content after new contract clause.This application obtains new clause by analyzing contract content, and after user confirmation, automatically analyzes the chapter and order in chapter to which new clause belongs, and automatically increases new clause to corresponding chapter and label.

A method, computer program product, and computing system for: interfacing an intermediate platform with a practice management system; interfacing the intermediate platform with an accounting system; obtaining, on the intermediate platform, contract information from the practice management system; processing the contract information to define a contract type, an initial contract payment and a plurality of anticipated contract payments; and waterfalling the initial contract payment and the plurality of anticipated contract payments in accordance with GAAP to generate one or more GAAP-adhering journal entries concerning the plurality of anticipated contract payments.

The invention provides an intelligent contract test script generation method and system, a medium and equipment, and relates to the technical field of block chains, and the method comprises the steps: obtaining a target intelligent contract; contract key information of the target smart contract is extracted; generating a test demand list according to the contract key information; screening a matching test template which is matched with the contract type of the target smart contract and meets the test requirement list from a standardized template library; and inputting the matching test template, the contract key information and the test demand as contexts into a set large language model, and guiding the set large language model to generate the test script in the matching test template. According to the method and the device, the randomness and the error rate of generating the test script are remarkably reduced, the direct availability of the test script is improved, a more comprehensive test script can be generated, and the method and the device can adapt to different types of smart contracts.

The present application provides a multi-dimensional data fusion analysis method for detecting anomalies in financial transactions, including: obtaining time series data of open contracts, the time series data of open contracts including date, trading volume, opening price, closing price, contract type and exercise price, pre-processing the time series data to remove noise and outliers, and obtaining cleaned time series data; for frequency sub-bands determined to be high-frequency trading behavior patterns, constructing a classifier based on wavelet transform features, and obtaining a classification model for identifying high-frequency trading behaviors by training the wavelet transform features, which is used for real-time monitoring of trading behaviors.

This application discloses a document archiving method, apparatus, storage medium, and computer equipment. The method includes: responding to a business completion signal, obtaining a signed contract corresponding to the business completion signal, and identifying the contract signing method of the signed contract; if the contract signing method is electronic signing, performing text recognition on the signed contract to obtain the signing agreement of the signed contract; obtaining a first signing agreement category corresponding to the contract type of the signed contract, and identifying whether the signing agreement contains signing information matching each of the first signing agreement categories based on the first signing agreement categories; if it contains signing information matching each of the first signing agreement categories, then archiving the signed contract, thereby automating document archiving, eliminating the need for manual document archiving, and improving the efficiency of document archiving.

The invention provides a high multiplexing method and device for data exchange with a heterogeneous system in contract management, equipment and a medium, and belongs to the technical field of contract management.The method comprises the steps that configuration information of a heterogeneous system interface connected with a contract management system is obtained; selecting a data type from the heterogeneous system as a contract reference source, and defining a data conversion rule; selecting a contract reference source for each contract type in the contract management system; setting a mapping relationship between the field of each contract type in the contract management system and the corresponding field in the heterogeneous system; and in response to a contract creation request, selecting a contract reference source according to the type of a contract needing to be created, obtaining contract reference source data through the heterogeneous system interface, and filling the data of the related fields in the heterogeneous system into the created contract according to the mapping relationship. The response speed of the contract management system is improved, a large amount of repeated data entry is avoided through field mapping, and repeated investment of development of a customized interface of a heterogeneous system is reduced.

This application relates to the technical field of data intelligent processing, and specifically relates to a method and system for generating contract summaries. This application determines the type of contract text and assigns associated tags according to the content of the contract terms, then determines the importance of each term based on the content of each term, the contract type, and the associated tags of each term, and further combines and / or filters relevant terms according to the current system attributes as the target text for generating the contract summary. The solution of this application can specifically identify the importance of each term in the current contract text, and then can specifically extract the corresponding key term content as the text basis for summary generation. Incorporating the contract type judgment, term tag recognition, term importance judgment, and term importance screening links into the contract summary technical solution achieves the purpose of making the contract summary concise and to the point, and greatly improves the accuracy of summary generation.

The invention provides a blockchain-based contract processing method and device, equipment, a medium and a product. The method comprises the steps that a transaction request is received, the transaction request is used for requesting to execute a target transaction on a block chain, and the transaction request carries a contract identifier of a target smart contract needing to be called for executing the target transaction; obtaining a contract type of the target smart contract, wherein the contract type of the smart contract supported by the block chain at least comprises a first type; the smart contract of the first type is stored in a contract warehouse of central auditing equipment associated with the block chain, and contract files of the smart contract stored in the contract warehouse pass contract detection processing of the central auditing equipment; if the contract type of the target smart contract is a first type, acquiring the target smart contract from a contract warehouse of the central auditing device according to a contract identifier of the target smart contract; and calling the target smart contract to execute the target transaction. The smart contract is stored based on the central auditing device, and the storage pressure of the block chain node can be reduced.

The present application relates to the field of fuel contract settlement technology, and in particular to an AI-based automatic settlement method for fuel contracts. It includes: generating training set data based on historical fuel contract settlement parameters, and establishing a settlement agent based on the training set data; judging whether all pending contracts are in a settlement cycle, and establishing a pending contract sequence A based on the judgment result; the settlement agent generates a settlement sequence based on the pending contract sequence A, and sets the settlement parameters of each pending contract based on the settlement sequence; by classifying fuel contracts, the settlement agent uses different settlement strategies to process different contract types, which improves the settlement efficiency of the contract on the one hand, and timely warns of the risks that may arise in the settlement of each contract on the other hand, thereby reducing the possible default losses after settlement.

The invention relates to a resource scheduling method and device, access network equipment and a storage medium. The method comprises: according to a resource allocation proportion of each contract type service, determining a standardized data transmission amount of each contract type service, the contract type service comprising at least one NGBR bearer type service; according to the standardized data sending amount of a target contract type service and the standardized data sending amount of each contract type service, a target priority corresponding to the target contract type service is determined, and the target contract type service is one of the contract type services; and performing resource scheduling on the target contract type service based on the target priority. According to the method, the priority of the target contract type service can be dynamically determined, and the purpose of differential resources of different user levels is achieved according to the contract type.

The invention provides a construction site labor contract automatic classification method and system, and the method comprises the steps: calling a labor protocol of a corresponding region, and building a construction site labor contract of the corresponding region. And inputting related contents of the construction site labor contract, and forming a document of the construction site labor contract of the corresponding region after inputting is completed. And scanning the document, and converting the document into an editable document. The editable documents are distinguished and integrated into documents of the same format, and the distinguishing content of the editable documents comprises the contract type, the construction period type and the contract period. Through the method, the information calling efficiency and accuracy are improved.

The invention discloses a department double-track system performance quantitative evaluation method and system under a dynamic balance perspective, and the method comprises the steps: carrying out the classification management of contract projects, endowing each class of projects with a preference coefficient, and endowing each class of projects with a specific project contribution coefficient; performing equivalent operation on non-contract projects, dividing the non-contract projects into a plurality of categories, setting an equivalent contract amount and correcting the equivalent contract amount; quantizing department investment indexes including the number of employees, operation expenditure, fixed asset depreciation and office area; constructing a multi-input multi-output input-output system, and obtaining a total quantitative evaluation score of contract projects and a total quantitative evaluation score of non-contract projects; performing relative efficiency evaluation on each department by using a BCC model in a DEA method to obtain a technical benefit value and a scale benefit value; and obtaining a comprehensive efficiency value, and dividing the performance evaluation grade of each department. According to the method, the relative efficiency of each department can be objectively measured, the comprehensive performance of the department is reflected, and meanwhile, input-output adjustment suggestions are provided for the department with insufficient relative efficiency.

The invention discloses a contract element extraction method and device, electronic equipment and a storage medium, and relates to the technical field of information processing, and the method comprises the steps: carrying out the preprocessing of an engineering contract, and obtaining a structured contract text; identifying a contract type based on the structured contract text, and generating at least one element extraction task according to the contract type; the element extraction task is executed, multi-stage cascade extraction of contract elements is carried out in the execution process of the element extraction task, and in the multi-stage cascade extraction process, the result of the previous stage is used as the input of the subsequent stage; and integrating the contract elements extracted by the at least one element extraction task to obtain contract element data corresponding to the engineering contract. According to the invention, the accuracy of contract element extraction can be improved.

The embodiment of the invention provides a contract drafting method and device based on a large language model, a medium and a product, and relates to the technical field of artificial intelligence. The method comprises the following steps: performing semantic analysis and intention recognition on draft contract appeal information input by a user by adopting a preset large language model, and determining a contract type; obtaining a target generation mode selected by a user according to a preset generation mode; the preset generation mode comprises a one-key generation mode and a step-by-step generation mode; and based on the target generation mode and the contract type, generating clause content required by the user. According to the scheme, the user appeal is dynamically analyzed based on semantic analysis and intention recognition ability of the large language model, a one-key generation mode and a step-by-step generation mode are provided, and the processing efficiency and the intelligence degree of contract generation are improved.

The application discloses a kind of multi-agent collaborative action task network reconstruction methods based on improved contract network, comprising: if agent encounters sudden situation in task execution process, then the collaborative action task network is restructured using improved same network algorithm: the type of sudden situation of task scene is judged, and the number of tasks in the task sequence of agent is combined to determine whether to carry out single-task auction based on two contract types or multi-task auction based on concurrent transaction mechanism;The single-task auction based on two contract types is determined by the task sequence condition of bidder, including two cases of delivering sale contract tender and delivering exchange contract tender;The final bidder is determined based on time cost;In the multi-task auction based on concurrent transaction mechanism, the bidder participates in bidding by making different tenders by adding the multi-task of tenderer to its task sequence, and the tenderer matches and compares all tenders to determine the final bidder.

The invention relates to the technical field of flexible employment contract management, in particular to a flexible employment contract management method. According to the technical scheme, the method comprises the following steps: contract preprocessing: determining a contract type, determining flexible employment forms including part-time job, temporary job, labor dispatch and project system employment according to actual demands of an enterprise and employee conditions, and listing work contents, work time, work places, a reward calculation mode and a payment period in details in the contract; meanwhile, similar flexible employment contract cases are analyzed by using a machine learning algorithm, and potential risk points are evaluated. According to the management method, a scientific basis is provided for enterprise decision making, contract disputes and loss risks are reduced, tasks are reasonably decomposed, accurate allocation is performed according to skills and availability of employees, illegal behaviors are effectively detected by using an artificial intelligence algorithm, an early warning mechanism is established, contract constraining force is enhanced, and enterprise benefits are maintained.

The embodiment of the invention provides a smart contract calling method and device based on a block chain, equipment and a storage medium, and relates to the technical field of smart contracts. The method comprises the following steps: firstly, receiving a service request sent by a user, and determining a called contract type and a contract ID according to the service request; the contract type comprises an internal contract and an external contract; if the type of the called contract is an internal contract, calling and executing the internal contract corresponding to the contract ID by using an SEVM engine to respond to the service request; if the type of the called contract is an external contract, calling an external contract engine, pulling an external contract mirror image from the local according to a contract ID to create a contract container, establishing communication with the contract container through gRPC, then starting the contract container, executing the external contract to respond to a service request, and returning an execution result of the external contract to local storage. According to the invention, the problem of low data security in a smart contract calling process is solved.

This invention discloses an intelligent contract review method and system based on artificial intelligence, relating to the fields of computer and artificial intelligence technologies. The method includes: receiving and parsing contract documents to obtain structured text data and contract type; automatically extracting multiple key clauses based on the contract type; performing compliance review and difference comparison on the key clauses to generate intermediate review results containing risk points and modification suggestions; dynamically analyzing the clause content in the intermediate review results, determining the responsible party for review according to preset rules, and automatically generating and assigning independent review sub-tasks to corresponding review terminals; completing the review process based on feedback from the review terminals, and structurally storing the results in a contract knowledge base. The system includes modules for document parsing, intelligent analysis, task assignment, and knowledge base management. This invention achieves automation, intelligence, and collaboration in contract review, significantly improving review efficiency, risk identification accuracy, and process traceability, and promoting the accumulation and reuse of enterprise contract knowledge.

This invention relates to a contract review method and system. The method includes: performing multi-channel retrieval of the contract to be reviewed based on a pre-built contract knowledge base to obtain contract retrieval results, re-ranking them, and generating enhanced context; matching contract prompt word templates according to contract type, and adjusting the contract prompt word templates based on historical feedback information to generate optimized prompt words; inputting the contract to be reviewed, enhanced context, and optimized prompt words into an optimal large language model to generate contract review opinions, performing structured parsing, and outputting structured review results; and adjusting at least one of the strategy parameters used in multi-channel retrieval and re-ranking, as well as the weight and content of the prompt word template library, based on user feedback on the review results, and triggering incremental updates to the contract knowledge base. Using this invention can improve contract retrieval accuracy, ranking effect, and prompt word adaptability, ensuring continuous optimization of review capabilities and improving the accuracy and efficiency of contract review.

The invention relates to a training set optimization method for a contract fulfillment risk analysis model, belongs to the technical field of training set optimization, and solves the problems of low model training efficiency caused by high dimension of existing original features and severely reduced model interpretability caused by dimension reduction of the existing features. The method comprises the steps of obtaining an initial training data set of a contract fulfillment risk analysis model; performing preliminary screening on the initial training data set to obtain a basic training data set; obtaining feature data of contract risk interaction features based on opposite party credit rating features, contract type features and contract amount features in the basic training data set; obtaining a statistical feature set and feature data corresponding to each feature based on the contract fulfillment time sequence data; and adding the contract risk interaction features, the corresponding feature data, the statistical feature set and the feature data corresponding to each feature into a basic training data set to obtain an optimized training data set of the contract fulfillment risk analysis model.