28 results about "Contract type" patented technology

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 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.

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.

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 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 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.

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.

The invention discloses a bulk and general cargo contract performance prediction method and system based on tallying data and a prediction model, and relates to the technical field of bulk and general cargo port management, and the method comprises the steps: collecting the tallying data of bulk and general cargos in the port arriving and unloading process in real time, and forming the accumulation of the cargo number in a contract period; constructing a prediction model based on the historical transportation volume, the tallying data, the shipping fluctuation and the predicted port arrival data, and predicting the final cargo volume in the same period according to the prediction model to obtain a predicted cumulative tallying volume; establishing different contract models according to different protocol contract types and contract modeling rules, wherein the protocol contract types comprise guaranteed contracts and ladder contracts; calculating the settlement amount of the contract based on the predicted cumulative tallying amount and a contract modeling rule; adopting a Monte Carlo method to calculate the standard reaching probability of the contract based on the predicted cumulative tallying quantity and the contract model; according to the invention, dynamic monitoring, quantitative analysis and prediction evaluation of the contract execution condition are realized.

The invention provides an electronic contract generation method and device, electronic equipment and a computer program product, belongs to the field of data storage, and aims at solving the problems that an existing method is low in automation degree, insufficient in accuracy, lack of intelligence and the like. The method comprises the following steps: acquiring text content of an offline business contract; semantic understanding is conducted on the text content through a pre-trained language model, target information in the text content is extracted, and the target information comprises a contract type; matching a corresponding electronic contract template according to the contract type; and generating an electronic contract based on the target information and the electronic contract template.

The embodiment of the application discloses a revenue confirmation method and a computing device, and relates to the technical field of enterprise financial management. The method comprises the following steps: acquiring first information of a target sales contract, the target sales contract being a sales contract for at least one product, and the first information comprising a product type, a transaction type and a contract type of the at least one product. Based on the first information, a target analysis rule matched with the first information is determined from a plurality of analysis rules, the analysis rule being used for defining revenue confirmation content of the sales contract. Based on the target analysis rule, an analysis conclusion of the target sales contract is determined, the analysis conclusion of the target sales contract being used for indicating the revenue confirmation content corresponding to the at least one product in the target sales contract. Based on the analysis conclusion of the target sales contract, revenue confirmation is performed. In this way, the automation processing efficiency and the accuracy of the revenue confirmation are improved, the adaptability of the revenue confirmation process of the enterprise is enhanced, and the work flow and the manpower input demand of the enterprise are simplified.

The application provides a construction site labor contract automatic classification method and system, the steps of the method include: calling the labor agreement of the corresponding area, establishing the construction site labor contract of the corresponding area. Input the relevant content of the construction site labor contract, and form the document of the construction site labor contract of the corresponding area after inputting. Scan the document and convert the document into an editable document. Distinguish the editable document and integrate it into a document of the same format. The distinguished content of the editable document includes: contract type, construction period type, and contract term. The above method improves the information calling efficiency and accuracy.

This invention discloses a method, apparatus, and related equipment for dynamic real-time cost occupancy and reserve calculation. The method includes: responding to the initiation of a target business, automatically calculating the monthly cost occupancy amount of the target business under the corresponding contract type based on the total amount and start and end dates of the target business; automatically triggering a locking or releasing operation on the monthly cost occupancy amount based on the approval status of the target business, and synchronously updating the incurred costs; wherein the incurred costs are actual expenditure costs; and dynamically calculating the monthly planned reserve and annual planned reserve based on the incurred costs and the pending costs distinguished according to the contract type of the target business, wherein the contract type includes at least contractual contracts and non-contractual contracts, and the pending costs are planned expenditure costs.

The embodiment of the invention discloses an intelligent contract calling method and device, computer equipment and a storage medium. The method can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic and auxiliary driving, and comprises the following steps: receiving a calling request of an intelligent contract, and obtaining verification information contained in the calling request; when the contract type of the smart contract is a restricted contract type, obtaining corresponding call restriction information from the smart contract; performing calling verification on the calling request according to the calling limitation information and the verification information to obtain a first verification result corresponding to the calling request; when the first verification result indicates that the call request passes, sending the call request to other nodes of the same block chain for consensus verification to obtain a second verification result; and when the second verification result indicates passing, calling the smart contract in response to the calling request. And calling verification is performed according to the verification information of the calling request and the calling limitation information of the smart contract, so that the smart contract is prevented from being maliciously called, and the calling security of the smart contract is improved.

This application provides a contract content verification method, system, electronic device, and storage medium, relating to the field of data processing, which can improve the accuracy of verification results obtained by current contract content verification technologies. The method is applied to an electronic device, which stores a first knowledge graph corresponding to at least one contract type in at least one domain. The first knowledge graph is used to characterize the relationship between the contract content, source basis, and risk level corresponding to a contract type. The method includes: the electronic device acquiring a target contract; constructing a second knowledge graph corresponding to the target contract based on the target first knowledge graph matching the contract type; the second knowledge graph being used to characterize the relationship between the target contract content, source basis, and risk level; and the electronic device acquiring the verification result of the target contract based on the second knowledge graph, the verification result including at least the content risk item of the target contract.

The embodiment of the invention discloses a contract file intelligent review method and device, equipment and a storage medium. The method comprises the following steps: under the condition that any to-be-examined contract file is received, performing double-layer identification on the to-be-examined contract file by utilizing a double-layer intention identification model to obtain a contract type and a clause type corresponding to each clause in the to-be-examined contract file; for any clause, matching an examination template corresponding to the clause according to the contract type and the clause type; obtaining static knowledge data and dynamic knowledge data according to the terms and the term types, and filling the review template to obtain to-be-reviewed term information; inputting the to-be-examined clause information into a pre-trained file compliance examination large model to obtain an examination report corresponding to the clauses; under the condition that the review report corresponding to each condition is obtained, review of the contract file is completed. And a double-layer identification mechanism, static knowledge data and dynamic knowledge data are utilized, so that the review accuracy is improved.

The invention provides a differentiated technology contract risk hedging clause generation method and system, the system comprises a plurality of user terminals and a generation server, and the generation server comprises a type determination part which determines the contract type of a contract draft received from the user terminals; the feature extraction part is used for extracting risk-related features of the contract draft according to the contract type; the clause forming part is used for generating risk hedging clauses as preliminary hedging clauses according to contract types and risk related characteristics; the quantization correction part is used for carrying out quantization correction on the preliminary hedging clauses to form clauses to be embedded; the clause embedding part is used for embedding to-be-embedded clauses into the contract draft to form a to-be-confirmed contract; and a contract output unit for outputting the contract to be confirmed. The risk hedging clauses are generated based on the specific contract type of the contract draft and the corresponding risk related features, different types of specific risks can be reflected, differentiated hedging clauses are generated, and then the contract quality is improved.

This application relates to an automatic intelligent classification and identification method, system, device, and medium for contract archive resources. The method includes: constructing a contract domain knowledge graph containing legal concepts, business terms, and contract type entities based on historical contract archive texts and publicly available legal provisions; preprocessing the contract archives to be classified to obtain word sequences; encoding the word sequences into contextual semantic vector sequences using a pre-trained language model; linking the sequences with the knowledge graph and aggregating multi-hop neighbor information of relevant entities to generate a knowledge-enhanced text feature vector sequence; simultaneously extracting the document structure features of the contract documents to obtain document structure vectors; finally, aggregating the knowledge-enhanced text features and combining them with the structure vectors, and calculating the probability of the document belonging to each classification label using a multi-label classifier to obtain the classification result. This method deeply integrates domain knowledge and document structure, effectively improving the accuracy and domain adaptability of contract archive classification.

The embodiment of the invention provides a submission data generation method and device, equipment, a storage medium and a program product. Belongs to the technical field of data processing. The method comprises the following steps: acquiring newly added transaction data and contract data; determining a transaction account according to the transaction data; determining a contract account according to the contract data; determining an account which is both a transaction account and a contract account as a target account; obtaining transaction information corresponding to the target account from the transaction data; obtaining business information corresponding to the target account from the contract data; obtaining historical submission data and contract information corresponding to the target contract type; generating submission data according to the transaction information, the service information, the historical submission data and the contract information; obtaining the sending time of the historical submitted data; generating encrypted submitted data according to the historical submitted data, the sending time and the submitted data; and sending the encrypted submitted data to an auditing terminal. According to the method, the problem of large occupation amount of data submission resources is solved.

The invention relates to the technical field of data processing, and discloses an interactive contract review system and method.The method comprises the steps that firstly, data are input, specifically, unstructured texts, including contract types, business scenes, key terms, to-be-reviewed contract text PDF, Word or picture scanning copies, of user review requirements are input, and the contract types, the business scenes, the key terms, the to-be-reviewed contract text PDF and the Word or the picture scanning copies are input; inputting structured demand parameters, and sorting parameter priorities: calculating clause priorities based on an analytic hierarchy process (AHP), and performing risk concern mapping; historical data mining is carried out, a historical review database is input, and data of contract texts, review records and manual correction logs are included; generating review logic; and feedback optimization and decision tree adjustment are carried out. According to the method, the risk review points can be quickly constructed according to user requirements, the construction time of the review logic is shortened to several minutes from several hours of traditional manual compiling by dynamically generating the decision tree, and meanwhile, the integrity and accuracy of the review logic are ensured.

A contract management and control method comprises the steps of converting a paper contract into an electronic contract and performing character recognition, so that contract information can be stored and processed in a digital form, and accessibility and searchability of contract data are improved. And classifying different types of contracts into corresponding data sets through text analysis and keyword set construction. Through the attention mechanism and keyword set labeling, the relationship and dependence between keywords in the contract can be deeply understood, and the contract content can be comprehensively understood and analyzed. Potential topics are extracted from the keyword matrix by using potential semantic analysis to help to identify the generality of different contract types. According to the method, the category vectors and the subject vectors of the contracts are integrated to construct feature vectors of the contracts, then type division is carried out according to the combined feature vectors and based on a clustering algorithm, each cluster represents a specific contract type, and therefore the purpose of fine classification management is achieved.

The invention provides a block chain contract calling routing method and device, equipment and a storage medium, and relates to the technical field of contract calling. The method comprises the following steps: abstracting a life cycle of an intelligent contract on a chain to obtain a plurality of continuous contract cycle stages; a contract interface of each contract period stage is defined, and the contract interface is integrated to a block chain system in a plug-in form; calculating contract metadata of the smart contract, and encapsulating the metadata on a source code of the smart contract to obtain a contract route; obtaining a contract calling request of a transaction, and matching a corresponding contract virtual machine through a contract route; and finally, starting the contract virtual machine to respond to the request, executing the transaction and returning an execution result. According to the method, the life cycle of the intelligent contract on the chain is abstracted into a plurality of stages, and the interface is integrated to the block chain in the form of the plug-in, so that the capability of dynamically expanding the contract virtual machine is realized, and meanwhile, the association binding relationship is established between the contract type and the virtual machine, so that intelligent routing of contract calling is realized.

The invention relates to the technical field of computers, and particularly discloses a contract auditing method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: obtaining a candidate contract text; target key fields are determined according to contract types and contract categories of the candidate contract texts, target contract texts are extracted from the candidate contract texts, and the target contract texts are texts related to the target key fields; inputting the target contract text and the first prompt word into a first model to obtain an audit result output by the first model; the first model is used for auditing the target contract text according to the indication of the first prompt word. On the basis, the contract data can be managed more efficiently, the overall operation efficiency is improved, the management cost is reduced, and meanwhile potential risks caused by human negligence are reduced.

The invention discloses an oil and gas well measure benefit evaluation method based on contract types and related equipment. According to the contract type of the to-be-evaluated oil and gas well project, determining a static gain evaluation model corresponding to the contract type, and obtaining the benefit measurement and calculation data of the oil and gas well with measures and the benefit measurement and calculation data of the oil and gas well without measures corresponding to the contract type; inputting the benefit measurement and calculation data of the oil and gas well with measures and the benefit measurement and calculation data of the oil and gas well without measures of the oil and gas well project to be evaluated into the static gain evaluation model to obtain static incremental data; and inputting the static incremental data and the measure data of the oil and gas well measures into a pre-constructed dynamic benefit evaluation model to obtain oil and gas well project benefits at specified time nodes in a plurality of time periods in the future. The dynamic benefit evaluation model considers factors changing along with time, and oil and gas well project benefits change along with change parameters and are closer to real oil and gas well project benefits.