104 results about "Review process" patented technology

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.

The invention belongs to the technical field of natural language processing and intelligent document processing, and relates to an intelligent document checking method and system of a visual workflow, and the method comprises the steps: generating the visual workflow according to an obtained verification demand; executing the workflow, and based on the extracted document information of the to-be-reviewed document, in combination with the review rule and the domain knowledge base, reviewing the to-be-reviewed document through a preset large language model to obtain a review result; and generating a verification report according to the verification result. The problems that the verification accuracy is poor, the verification rule configuration is not flexible, and the verification process cannot be visualized are solved.

Computerized systems and methods for automated Access Permissions Review in an organization. A method includes: (a) receiving a textual description of an Access Review Policy; (b) constructing a trigger for automatically initiating an Access Review process; (c) automatically collecting organizational data that pertains to: (i) roles and positions of users, (ii) user-specific characteristics, (iii) email messages sent and received by users, (iv) description of events in which users had accessed elements of the Organizational Resource. Upon a triggering of the trigger, the method provides to a fine-tuned Large Language Model (LLM), the Access Review Policy and augmentation data from the organizational data, and a prompt instructing the LLM to generate a proposal to revoke, modify, add or maintain the Access Permissions of a particular user, and further instructing the LLM to generate output that describes reasoning and supporting evidence for the proposal.

The invention provides an examination method and system for a territorial space control detailed planning achievement, and the method comprises the steps: 1, formulating a control and regulation achievement library element standard according to a target planning plot and the basic information of territorial space planning, compiling a territorial space controllability detailed planning GIS result file according to the basic information and a control and regulation result library element standard; 2, according to the basic information, control data and review rules are determined; 3, summarizing rule types according to the management and control data and the review rules, determining the rule type to which the management and control data belongs, and setting a review process corresponding to the rule type; and 4, according to the review process, reviewing the territorial space controllability detailed planning GIS result file to obtain a review result. According to the method, the content format of the GIS result file is unified, the review rule is cleared and solidified, the free cutting space of reviews is compressed, the review process can be standardized and processed, and the review efficiency and quality are improved.

Embodiments disclosed herein include systems and methods for generating and editing digital documents, and applying electronic signatures to the documents. The system further performs forensic operations on digital documents for determining the authenticity of the document data or metadata and validating the status of document. The forensic operations may include, for example, security operations, audit trail analysis, and authenticity / verification analysis, which the system performs on an input document being scrutinized for authenticity and a master digital document purportedly corresponding to the input digital document. The system may apply a machine-learning architecture to identify discrepancies otherwise imperceptible to humans or to speed the review process. The system may generate a report for the user who submitted the forensics request indicating the results of the forensic operations. The available forensics operations and level of information about the master digital document are tailored to permissions afforded to the submitting-user.

The invention discloses a historical revision trace-based contract review logic automatic generation method and system, and the key points of the technical scheme are that the system comprises a contract version data extraction module; the difference comparison module is used for extracting a revised text block and a difference tuple; the semantic analysis module is used for performing semantic analysis on the difference tuple and generating difference elements; the review logic generation module is used for automatically generating review logic according to the difference elements and generating corresponding review points; an examination list management module; a similarity calculation module; a contract processing and checking module; according to the method, the automation of contract review is realized, the cost of manual intervention is reduced, the review efficiency is improved, and important improvement is made in the aspects of utilization of historical revision traces and knowledge management. The system can automatically extract historical review experience, generate standardized review logic, continuously update the review list, and promote intellectualization and systematization of the contract review process.

The invention discloses a document auditing method and device based on cooperation of a large model and a rule engine. The method comprises the following steps: analyzing an original document to form an intermediate representation file; extracting entities from the intermediate representation file to form an entity candidate set; inputting the thinking chain cue word into the large model to obtain a first triple, a first confidence coefficient and a first risk level, and calculating a first traceable score of the large model according to the reasoning path node; performing deterministic judgment by using the rule engine to obtain a second triple, a second confidence coefficient, a risk level and a second traceable score; calculating two weighted voting values and obtaining a conflict difference value; taking a conclusion corresponding to the high-weighted voting value as a final conclusion when the conflict difference value is smaller than a preset judgment threshold value; otherwise, starting an artificial rechecking process; and generating audit reports in various formats. According to the method, the advantages of relatively high language understanding ability of a large model and relatively high certainty of a rule engine are exerted, and the problem of missed checking or excessive marking is avoided.

The invention provides a file auditing method, device and equipment based on a multi-modal large model, and the method comprises the steps: splitting data in a to-be-audited file, and obtaining text data in the to-be-audited file and image data in the to-be-audited file; segmenting the file to be audited to obtain a plurality of text paragraphs; based on a pre-constructed cue word template, guiding the multi-modal large model to identify texts in the image data, calling a knowledge base to verify text contents identified in the image data, guiding the multi-modal large model to determine themes of all text paragraphs, and indexing in the knowledge base according to the paragraph themes, and the plurality of text paragraphs are verified based on the index result, so that the automatic auditing process of the to-be-audited file is realized, and the file auditing efficiency and accuracy are improved. The powerful processing capability of the multi-modal large model and the rich information resources of the knowledge base are fully utilized, and powerful technical support is provided for file auditing.

The invention provides a multi-model scheduling and structural semantic fusion document review method, which comprises the following steps of: rearranging contents in a to-be-reviewed document on the basis of a semantic hierarchical structure of the to-be-reviewed document to obtain a structured recombined document; constructing a review task graph of the to-be-reviewed document; and configuring a task route for each review task in the review task graph, executing the plurality of review tasks based on the review task graph configured with the task routes, and determining a review result of the structured recombined document. In the face of a large number of dense document scenes, the automatic document review process is achieved, the review efficiency is effectively improved, meanwhile, the accuracy and consistency of review results are guaranteed by means of structured processing and accurate model calling, and the requirements of services for high efficiency, high accuracy and high consistency are fully met.

The invention discloses a bidding document auditing method based on a large language model, belongs to the technical field of text auditing, and solves the problems that after text contents of bidding documents are classified according to risk levels, the continuity of the bidding document contents is broken, and the bidding document auditing efficiency is high. Therefore, the problem that resistance text vulnerabilities cannot be recognized among bidding document texts with different risk levels in the auditing process can occur. Comprising the following steps: constructing a risk factor graph, analyzing a bid invitation file, constructing a structured knowledge network containing hard terms and elastic terms, and defining dependency and conflict relationships between the terms; and dynamically grading bidding document chapter risks, and fusing four-dimensional indexes including commitment density, fuzziness, reference frequency and topology centrality. According to the method, the absolute commitment is extracted from the high-risk chapter to serve as the anchor point, the semantic association fragment of the non-high-risk area is reversely traced, the risk level of the association area is dynamically improved after the constraint effect of the semantic association fragment is verified, and the problem of antagonistic vulnerability identification fault caused by grading auditing is solved.

A method of digital document review using factor graph document databases comprising an extract method and a summarise method, wherein the extract method uses a Large Language Model (LLM) to decompose into variables and elements a document or series of documents and to identify new terms semantically associated with the description of the interest of the desired audience for the document review process, and representing the variables and elements in a factor graph document database, and wherein the summarise method includes indexing the factor graph document database based on terms of interest to the audience of the review, and inferring which of the new variables and elements are relevant to the audience, and reconstructing a human interpretable document out of the variables and elements inferred in the factor graph document database.

The invention discloses an automatic auditing method and system for building concession, which can quickly receive, detect and process a to-be-audited drawing through an automatic process, greatly shorten the time required by manual auditing, automatically calculate the building concession distance and compare, reduce the steps of manual operation, accelerate the auditing speed and improve the auditing efficiency. Detection is carried out based on preset layer attribute requirements, consistency and accuracy of drawing information are ensured, calculation errors or judgment deviations possibly occurring in manual auditing are avoided through accurate calculation and comparison, the automatic auditing process is clear and definite, each step has a definite judgment standard and an output result, and when the drawing does not meet the requirements, the automatic auditing process does not meet the requirements. And a detailed problem list is output, so that an applicant can clearly know specific positions and reasons which do not conform to specifications, the dependence on manual auditing personnel is reduced through automatic auditing, the labor cost is reduced, 24-hour uninterrupted operation can be realized, the working efficiency is improved, and the working time and the number of personnel required by manual auditing are reduced.

The invention discloses a multi-field review method and system driven by dynamic rules, and belongs to the technical field of intelligent review. Comprising the steps of dynamic rule engine configuration, expert management configuration, automatic grouping matching, expert online review and meeting voting. And full-dimension coverage of cross-project type, cross-organization department and cross-business scene is realized. For talent selection, technical evaluation of scientific research projects and title evaluation, dynamic construction and flexible adjustment of a differentiated evaluation process can be completed based on the same platform, so that the evaluation efficiency and scientificity are effectively improved, and a standardized and intelligent technical solution is provided for multi-subject and multi-scene collaborative evaluation business; the problems of flow stiffness, weak functions, extensive management, lack of transparency and security vulnerability of an existing review system are solved.

Systems and methods in accordance with embodiments of the invention can automatically track the creation of documents, such as source code files and unit tests, along with the development of those documents. The document creation and development workflow can be automatically validated against a defined set of standards to ensure that the documents are properly created. The review of the documents can also be automatically validated to ensure that the review process is properly completed. A variety of metrics can be generated regarding errors and issues identified during the validation processes. These metrics can be used to identify common issues, automatically generate proactive suggestions to avoid issues during document creation and testing, and / or generate developer profiles indicating the performance of particular developers.

The invention relates to the technical field of periodical checking, and discloses an automatic optimization method and system of a periodical checking process, when a new manuscript is received, a periodical corresponding to submission information is automatically matched according to the submission information of the new manuscript, and the new manuscript is sent to a periodical terminal corresponding to the periodical; the periodical terminal obtains an initial manuscript reviewer set; according to the manuscript characteristics of the new manuscript and the interest association strength and the relationship matching strength between the new manuscript and each candidate manuscript reviewer, obtaining a potential association degree value between each candidate manuscript reviewer and the new manuscript; obtaining implicit knowledge relationship strength between the candidate reviewer and the new manuscript according to the potential association degree value between each candidate reviewer and the new manuscript; and optimizing the initial manuscript reviewer set according to the matching degree between the state space and the action space, obtaining a target manuscript reviewer set, and carrying out periodical review recommendation on the target manuscript reviewer set. According to the method, blindness and uncertainty in the manuscript reviewing process can be reduced, and the reviewing efficiency and quality are improved.

The invention discloses a building information model compliance examination method based on IFC-Graph and a large language model, and the method achieves the precise structured analysis of supervision provisions through BILUO annotation and self-correction, completely reserves the BIM semantics and relation through an IFC-Graph knowledge graph, achieves the semantic consistency of a supervision concept entity and an IFC concept entity through semantic alignment, and achieves the compliance examination of the supervision concept entity and the IFC concept entity. And finally, realizing multi-hop retrieval and interpretable automatic review by utilizing a large language model in combination with GraphRAG. An IFC-Graph knowledge graph is constructed based on a BIM model, entities in a supervision text and IFC class tags are subjected to semantic alignment, reasoning and automation are performed by fusing a large language model in an examination process, and meanwhile, the accuracy of LLM text data generation is improved through GraphRAG, so that the accuracy of BIM compliance examination is improved, and the efficiency of BIM compliance examination is improved. The problems of difficulty in semantic alignment of the building supervision provisions and the BIM model and low efficiency of automatic compliance review are solved.

The invention provides an intelligent review system and method fusing multi-agent cooperative driving, and the system comprises a task receiving and planning module which is used for receiving a research and development project task, analyzing a task type, planning an execution path, and generating a task instruction containing an agent type and a task feature; the rule calling module is used for selecting an examination rule matched with the task type from a rule base based on the task instruction; the multi-scene review agent module comprises at least one agent, each agent executes a review process, and the review process comprises the steps of analyzing a review rule and determining a review target and a review standard; obtaining to-be-examined data from the research and development project data based on the examination target; matching the to-be-examined data with an examination standard to generate an examination result; and the report generation module is used for summarizing the review results of all the agents and generating a review report containing a problem list, a compliance conclusion and a modification suggestion. According to the invention, automatic execution and high result integration of the collaborative intelligent review task in multiple scenes are realized.

Methods and systems for a document review process are provided. The method includes receiving an input digital model representation comprising at least one externally-accessible model endpoint for generating a digital artifact. Then, generating a document splice comprising access to multiple document subunits, with at least one document subunit written in a natural language and comprising the digital artifact; the access to each document subunit is provided through an externally-accessible document endpoint for the subunit. Then, generating a document by combining the document subunits, and generating a view associated with the document, based on an user authorization result including selective access rights to the document subunits. The view comprises access to the digital model representation, the digital artifact, each document subunit, and the document. Finally, receiving a user input and updating, via one of the externally-accessible document endpoints, the document splice based on the user input.

The invention relates to the technical field of bidding and tendering, and discloses a bidding and tendering file deep understanding and multi-rule review management system based on a large model, and the system comprises an environment state representation module which is used for encoding a bidding and tendering file into a structured state vector; the multi-agent decision-making module comprises a plurality of professional agents and is used for executing a review action according to the state vector; the dynamic risk transmission module is used for generating a risk broadcast vector when a professional agent identifies the risk, and adjusting subsequent actions of other agents through a cross-agent attention mechanism; the strategy training module is used for training the strategy of the multi-agent decision-making module by utilizing an expert review track through a generative adversarial imitation learning mode; and the report generation module is used for outputting a dynamic review path report. According to the method, the dynamic optimization of the review path is realized by simulating an expert strategy, the risk collaborative review across professional fields is realized through a risk transmission mechanism, and the traceability of the review process is ensured at the same time.

The invention discloses an intelligent auditing method and system for environmental assessment file auditing, and the method comprises the steps: firstly loading a to-be-audited environmental assessment file, and loading an auditing rule according to the type of the environmental assessment file; then extracting a directory of the environmental assessment file, and displaying the content of the environmental assessment file according to a page sequence of the directory of the environmental assessment file; a preset file intelligent auditing model is used for auditing the environmental assessment file; and finally, displaying an audit result through a human-computer interaction interface. Wherein the human-computer interaction interface comprises a basic information display area, an original content display area, a file directory display area, an auditing log display area and an auditing result display area. The application file intelligent auditing model leads or assists the auditing work of the environmental assessment file, so that the auditing efficiency and quality of the environmental assessment file are improved while the auditing content of the environmental assessment file is standardized.

The invention relates to the technical field of medical review, in particular to an ethical review intelligent system based on multi-modal information processing, which comprises a user module, a form review module, an extraction module, a designation module, an approval module, a time limit module, a reminding module, a tracking module and a downloading module. Through a natural language processing technology and structured table analysis, the system realizes automatic extraction of an application file and generation of a standardized review worksheet; transparency and traceability of an examination process are ensured through a block chain evidence storage module; through the time limiting module and the reminding module, the examination efficiency is improved, delay is avoided, the ethical examination process is remarkably optimized, the examination and approval efficiency and standardization are improved, and the method is suitable for ethical examination of biomedical research and clinical test items related to people.

The invention discloses an automatic generation method, device and equipment of a drawing review report and a storage medium, and relates to the technical field of report generation, the method comprises the following steps: respectively carrying out classification marking on review data types of a to-be-reviewed construction drawing, and storing the review data to different databases according to a classification marking result; performing data maintenance on the audit data according to the classification marking result, and generating a data maintenance record; and extracting structured information from the data maintenance record and the classification marking result, and filling a preset report template with the structured information to obtain a drawing examination report. The auditing data types of the to-be-audited construction drawing are classified and marked, the problem that multiple professionals need to participate at the same time in traditional manual auditing, and a large amount of time is consumed is solved, the consistency of different auditing personnel during auditing of the same type is ensured through data maintenance, and the auditing efficiency is improved. And the data maintenance record records the processing process of the audit data in detail, so that the follow-up audit process can be conveniently traced.

The invention provides an automatic compliance review method and system for territorial space planning based on a knowledge graph, and relates to the technical field of data processing, and the method comprises the steps: constructing a graph processor, processing a territorial space planning scheme, constructing a planning field based on the territorial space planning scheme according to a field processor, and carrying out the automatic compliance review of the territorial space planning scheme. The layered planning map and the planning field are transferred to a digital reviewer, two-stage digital review analysis is executed, a territorial space planning review report is generated, and the two-stage digital review process comprises local conflict field positioning based on the planning field and multi-round information transmission reasoning based on the layered planning map; and carrying out popup display on the territorial space planning review report. The technical problems that in the prior art, a territorial space planning scheme has limitation and lacks intelligent review ability of planning experience, rules and the like, and comprehensive and accurate analysis of the planning scheme is difficult to achieve are solved. The technical effects of automatically examining the territorial space planning scheme and improving the examining efficiency and accuracy are achieved.

This application provides a method, apparatus, storage medium, and electronic device for reviewing merchant annual inspection work orders, relating to the field of work order review technology. It enables automated review of merchant annual inspection work orders, shortening the review cycle, improving review efficiency, enhancing the standardization and objectivity of the review process, and further improving the accuracy of the review results. The method includes: automatically logging into a merchant annual inspection work order system through a robotic process automation system to obtain a target annual inspection work order for a target merchant and a corresponding image for review of the target merchant. The target annual inspection work order includes the annual inspection items to be reviewed and the registration information of the target merchant. The image for review is processed using a visual large-scale model based on preset information processing rules to obtain structured information corresponding to the annual inspection items to be reviewed. The structured information and registration information are compared according to preset review rules for the annual inspection items to be reviewed to generate the review result for the target merchant.

The invention relates to the technical field of computer processing, and particularly discloses an oil and gas ground construction engineering project auxiliary review method based on natural language processing, and the method comprises the steps: obtaining a preliminary review material for the preliminary design of an oil and gas ground construction project; performing natural language recognition and content extraction on the pre-audit material based on a pre-trained large model to obtain pre-audit content; performing review analysis on the pre-review content based on a pre-review standard to obtain an analysis result; under the condition that the analysis result is that the pre-examination is passed, obtaining preliminary design data; performing natural language recognition and content extraction on the preliminary design data based on the large model to obtain preliminary design content; and performing review analysis on the preliminary design content based on a design standard to generate a project review result. An existing project review process is optimized by using a natural language recognition technology, so that the review efficiency is improved, and the review comprehensiveness and accuracy are improved.

The invention discloses a document compliance auditing data management system and method based on artificial intelligence, and relates to the technical field of document auditing, and the management method comprises the following steps: recording the compliance auditing process of any document, and generating a corresponding auditing log; performing auditing analysis on any auditing log, generating an auditing result and feeding back the auditing result; performing abnormal feature extraction and division on the corresponding documents according to preset feature types to obtain abnormal feature sets of the corresponding documents; analyzing association conditions among different features; simulating the causal relationship between the associated features to obtain effective causal feature pairs; generating an actual causal relationship based on an audit result fed back by any effective causal feature; abnormal features existing in the actual document auditing process are recognized, and abnormal traceability is conducted on the abnormal features; the subjectivity and omission risk of manual auditing are effectively reduced, and the auditing efficiency and accuracy are greatly improved.

This invention provides a contract review assistance system, method, and storage medium. By constructing a four-layer architecture of "main agent - sub-agent - toolset - data resource layer," intelligent processing of contract review and related business scenarios is achieved. This architecture not only improves the flexibility and collaborative efficiency of task processing but also reduces reliance on manual intervention and error rates. Thus, it achieves an efficient, accurate, and structured review process through intelligent means, thereby improving the processing efficiency of contract review and related business scenarios. This solves the technical problem that existing contract review methods cannot fully meet the core review needs of the contract marketing and risk control domains, leading to low contract review efficiency.

The application relates to the field of artificial intelligence and natural language processing technology, in particular to a document intelligent review method and system based on a multi-modal artificial intelligence and a rule engine, which solves the problems that an existing review scheme driven by a pure rule engine lacks semantic understanding and cannot understand context, a review scheme model based on a traditional natural language processing model has limited model generalization ability and still needs a large amount of feature engineering, a scheme based on a pure large language model for direct review has untraceable and unverifiable results, and the scheme has high delay and high cost, and the application comprises a document preprocessing and analysis module, a rule intelligent analysis module, a key information intelligent extraction module and a collaborative intelligent review engine. The application positions a large language model LLM as an enhanced component of a rule engine, utilizes the capability of the large language model LLM to understand natural language rules, extract complex information and perform deep semantic reasoning, and the framework of the whole review process, the final output of decision and the accurate positioning of results are dominated by the controllable and explainable rule engine.

This invention discloses a closed-loop optimization method and system for contract review based on weak user feedback. The key technical points are: the system includes: a user input interface; a contract parsing module; a review logic initialization module; a review model module; an error history retrieval module; a result correction module; a user feedback storage module; and a closed-loop optimization module. This invention improves the accuracy and efficiency of contract review through an intelligent review process. By automatically parsing contract text, matching review checklists, applying dynamically optimized review logic, and combining a large language model to perform risk analysis on contracts, the system can not only identify potential problems but also continuously adjust the review logic based on weak user feedback, forming a closed-loop optimization. This method can flexibly adjust review rules according to contract characteristics, industry needs, and regulatory changes, thereby providing users with more accurate and personalized review services and continuously improving review effectiveness through the accumulation of feedback.

The application discloses a document auditing method and device based on large model and rule engine cooperation, the method comprises the following steps: analyzing an original document to form an intermediate representation file; extracting entities from the intermediate representation file to form an entity candidate set; inputting a thinking chain prompt word into a large model to obtain a first triple, a first confidence and a first risk level, and calculating a first traceable score of the large model according to a reasoning path node; using a rule engine to make a deterministic judgment to obtain a second triple, a second confidence, a risk level and a second traceable score; calculating two weighted voting values and obtaining a conflict difference value by taking the difference; when the conflict difference value is less than a preset judgment threshold, taking the conclusion corresponding to the high weighted voting value as the final conclusion; otherwise, starting an artificial review process; and generating an auditing report in multiple formats. The method takes advantage of the strong language understanding ability of the large model and the strong certainty of the rule engine, and avoids the problems of missed review or excessive marking.