71 results about "Document quality" patented technology

The invention relates to the technical field of intelligent document processing, and particularly discloses a file arrangement processing method and system. The method comprises the following steps: acquiring an input document, analyzing the structure and the style of the input document, and generating standardized format data; extracting a semantic relationship of the document through a pre-trained text understanding model, constructing a semantic relationship graph and optimizing a chapter sequence; loading a document processing plug-in to execute cross-format arrangement, and generating intermediate format data; executing processing nodes based on a task scheduling mechanism to generate optimized content; calling a multi-format output module to generate a target document, and adjusting metadata in combination with the global variable; and finally evaluating the document quality and updating the model. According to the method, automatic analysis, intelligent optimization and format unification of the multi-source heterogeneous document are realized, and the intelligent degree and the output efficiency of document processing are improved.

The invention discloses an intelligent bid invitation file generation method and system based on text automation, and relates to the technical field of artificial intelligence and data processing, and the method comprises the steps: carrying out the semantic analysis of a bid invitation demand text through a project type recognition model, and extracting a feature vector and a keyword set of a project; based on the feature vector, a cosine similarity algorithm is adopted to retrieve a matching template in a preset bid invitation file template library, a candidate template list is generated, and label classification and parameterization setting are carried out on templates of the candidate template list; based on the keyword set, carrying out content adaptation on templates of the candidate template list, and generating an initial bid invitation file; and performing segmented auditing on the initial bid invitation file, adjusting the keyword set in combination with auditing opinions, and synchronously updating the keyword set to the parameterized database through the mapping relationship to generate the bid invitation file. According to the invention, closed loop from demand to achievement is realized, labor cost of bid invitation file compiling is reduced, and bid invitation file quality and generation efficiency are improved.

The invention discloses a document generation system and method based on multi-agent collaboration, and the method comprises the steps: understanding and extracting the high-level semantic information of a text input by a user, and dynamically generating a problem to guide the user to define a demand, so as to form a detailed document demand; recognizing the theme and key elements of the document from the detailed document requirements; the optimal sequence of task execution is determined based on a shortest path algorithm, potential conflicts in task execution are predicted and solved through parallel processing and a search algorithm, and optimized task planning is formed through feedback circulation; generating a document outline according to user requirements, retrieving associated contents of document chapters so as to write chapter contents, and performing grammar and format verification to form a preliminary document; defining a document quality evaluation index according to user requirements and industry standards, performing document quality evaluation on the preliminary document, and feeding back the document quality evaluation result to the user; and generating a complete final document and presenting the complete final document to the user. According to the invention, the document generation quality is improved.

The invention discloses a clinical test document quality detection and processing method and system and computer equipment. The method comprises the following steps: acquiring a to-be-processed clinical test document; performing format conversion and optimization processing on the to-be-processed clinical test document to obtain a preprocessing result; automatically classifying the preprocessing result to obtain a classification result; extracting document key information according to the classification result, and generating a file name to obtain an extraction result; checking the integrity, compliance and archivability of the corresponding document according to the extraction result, and performing automatic processing according to the detection result to obtain an automatic processing result; and storing and archiving the automatic processing result. By implementing the method provided by the invention, efficient and accurate document quality detection and automatic processing can be realized, so that the document processing quality and efficiency are improved, and the problems of low efficiency, poor consistency and high error rate in the prior art are solved.

The embodiment of the invention provides a document processing method and device and a storage medium, and the method comprises the steps: loading a target component in an editing interface of a document page through a client in response to a selection instruction for the target component in a preset component library, displaying a component editing region and a component preview region corresponding to the target component in the editing interface, displaying the target component in the component preview area; in response to an editing instruction for the target component in the component editing area and / or the component preview area, updating the target component displayed in the component preview area; in response to the document page storage instruction, generating description data and dependency information of the document page; and in response to the document display instruction, obtaining a webpage file corresponding to the document page according to the description data of the document page and the dependency information, and displaying the webpage file corresponding to the document page. According to the embodiment of the invention, document editing can be carried out more conveniently and visually, the document quality is improved, the document editing efficiency is improved, the labor cost is reduced, and the user experience is improved.

The invention discloses a self-adaptive text extraction method and system based on artificial intelligence, and the method comprises the steps: carrying out the analysis of the document structure entropy of an example document set, quantifying the noise density, geometric distortion degree and background complexity of the example document set, and carrying out the self-adaptive selection of a preprocessing assembly line intensity grade according to the above; dynamically configuring image preprocessing parameters and AI recognition model parameters, and generating a recognition engine instance to output a preliminary recognition text; after regularized coarse screening extraction is carried out based on key field description, a multi-candidate generation strategy is started for low-confidence-coefficient candidate text fragments, a multi-person cooperative verification process is triggered for lower-confidence-coefficient fragments, finally all the fragments are processed through a text standardization module, and structured text extraction information is output. According to the method, accurate adaptation of processing intensity is achieved through document quality quantitative evaluation, the extraction accuracy and system robustness of complex heterogeneous documents are effectively improved through a multi-level confidence coefficient verification mechanism, and the identification error risk caused by image quality fluctuation or rule solidification is reduced.

The invention relates to the technical field of natural language processing, in particular to a multi-language version automatic generation and synchronization system for international trade documents. Comprising a document processing unit, an intelligent translation unit, a version synchronization unit and a collaborative review unit. A term library is updated in real time, the multiplexing value of a translation memory library is optimized, an advanced deep learning mechanism and strict quality control are applied, high-quality translation results closely following industry dynamics are output, meanwhile, a version synchronization unit saves resources by means of monitoring source document changes in real time and incremental translation, and updating records are safely stored by means of the block chain technology; automatic generation and real-time synchronization of the multi-language document are achieved, the document quality, safety and compliance are guaranteed, and the accuracy, efficiency and collaboration of international trade document processing are improved.

The invention discloses an archive document quality evaluation method and an archive document quality evaluation system based on ConvNeXt V2. According to the method, an improved ConvNeXt V2 model is used for carrying out character density classification on a preprocessed archive document image, and probability distribution is output. Meanwhile, the quality evaluation model of the OCR text-image double-branch structure is adopted to evaluate the quality of the image. The OCR text branch uses a ViT model and a transpose attention module to extract visual features and calculate a document stream score; according to the image branch, image features are extracted by using a convolutional neural network and ResNet, global multi-scale features are formed through residual connection, and an image flow score is calculated. And finally, fusing the image flow score and the document flow score through double-flow dynamic weight to obtain an image quality evaluation score. According to the method, the model architecture is improved, and the dynamic weight algorithm is designed, so that the classification and quality evaluation of the archive document image are improved.

The invention provides a multi-modal interactive law enforcement document generation method and device, electronic equipment and a storage medium, and relates to the field of large model text generation. The method comprises the following steps: collecting a law enforcement structured data set, and extracting a text data set from the law enforcement structured data set; analyzing the text data set, extracting word vectors and grammar structure information from the text data set, integrating the word vectors and the grammar structure information through a weighted average strategy, and constructing a law enforcement vector database; performing fine tuning training on the open-source large model by utilizing the law enforcement vector database to obtain an on-site inquiry model; a cause of action is input into the on-site inquiry model, the on-site inquiry model automatically generates a sniffing outline according to the cause of action, sniffing guidance is provided for law enforcement officers, and inquiry records are generated; and according to the generated inquiry record document, content auditing and checking are carried out, and a preview file is generated after auditing and checking. Complex case information can be efficiently processed, the document quality and the processing speed are improved, the overall law enforcement efficiency is improved, and efficient workflow and system optimization are achieved.

The invention provides a nuclear power design file verification method, system and device and a medium, and the verification method comprises the steps: obtaining a to-be-verified file, and extracting the metadata of the to-be-verified file; based on the metadata, performing static rule check on the to-be-checked file to generate rule check data; performing dynamic technical check on the to-be-checked file through a preset check model to generate technical check data; and generating file verification data based on the rule check data and the technical check data, and performing graded early warning prompt based on the file verification data. According to the method, the file quality and compliance are remarkably improved, the human error risk is reduced, the technical verification efficiency is improved, the responsible person is directionally pushed through graded early warning, the examination period is shortened, and the accuracy and efficiency of nuclear power engineering construction are ensured.

The invention belongs to the technical field of computers, and particularly relates to a document quality evaluation method and device, equipment and a storage medium. To-be-evaluated document information is obtained, the to-be-evaluated document information comprises a target document type and target document content, the target document rule configuration condition is determined according to the target document type and a rule configuration library, and the rule configuration library is used for indicating the incidence relation between the document type and the document rule configuration condition; determining a target document quality evaluation range according to the target document content and the target document rule configuration condition, and performing evaluation processing on the target document content according to the target document quality evaluation range to obtain a target document quality evaluation result; according to the method, the document rule configuration condition and the document quality evaluation range are dynamically matched for the to-be-evaluated document, and the diversity, reusability and accuracy of document quality evaluation are improved.

The invention provides a large model data set quality evaluation method and system. The method comprises the following steps: S1, constructing a large model data set quality evaluation framework based on file quality, file description quality, file content quality, data labeling quality and model training quality; s2, constructing a large model data quality evaluation index based on the constructed large model data set quality evaluation framework; and S3, acquiring a large model data set, classifying the large model data set according to modal types and single evaluation indexes, and performing corresponding quality evaluation on the classified data set. According to the method, the data set quality of the large model can be comprehensively and systematically evaluated, and the high-quality data set construction of the large model can be effectively guided, so that the training efficiency of the large model is improved, errors and deviations in the training process are reduced, and the accuracy and generalization ability of the model are improved.

The invention discloses a medical record document quality inspection method, a medical record quality inspection model training method and a related device. The method comprises the following steps: acquiring a target medical record document; inputting the target medical record document into a medical record quality inspection model to obtain a quality inspection result of the target medical record document, the quality inspection result comprising a judgment result of whether the target medical record document has an error and a judgment basis; wherein the medical record quality inspection model is obtained by fine tuning based on the pseudo-annotation data and the sample medical record document, and the pseudo-annotation data is obtained based on the sample medical record document and the language model. Through the above mode, the method can use the model to obtain the pseudo-annotation data training, and then uses the pseudo-annotation data to train the medical record quality inspection model, thereby saving the manual annotation cost and improving the model training efficiency while guaranteeing the quality inspection effect of the medical record quality inspection model.

The invention relates to the technical field of bidding information processing and document auditing, and discloses an intelligent bidding document quality evaluation and auxiliary generation system based on multi-dimensional detection, and the system comprises an information extraction module which is used for analyzing a bidding document file and extracting various nodes; the knowledge graph construction module is used for receiving the nodes and constructing a response evidence chain type knowledge graph; the risk assessment module is used for identifying a response path in the knowledge graph, judging a path mode and calculating a quantitative risk score; and the report generation module and the auxiliary generation module are used for generating a bidding document quality evaluation report containing specific modification suggestions according to the risk evaluation result. According to the method, a traditional manual auditing process is automated, multi-dimensional detection means such as text analysis, image detection and external credit query are comprehensively applied, quantitative evaluation of bidding response risks, accurate positioning of high-risk items and automatic generation of modification suggestions are achieved, and therefore the efficiency, depth and accuracy of bidding document quality auditing are improved.

This invention discloses a multimodal document parsing and evaluation method and system for bidding and tendering audit scenarios. First, it collects the tender documents and bid documents to be audited to obtain a set of documents to be audited. Then, it identifies the document format attributes in the set of documents to be audited to obtain initial heterogeneous corpus. Next, it performs page-level multimodal detection on the initial heterogeneous corpus and obtains detection tags. This invention achieves the function of accurately constructing audit corpus from massive heterogeneous documents using a vision-enhanced hybrid parsing strategy, and then performing multimodal document parsing and evaluation using image processing algorithms. Furthermore, the dual-modal risk assessment model combining hard and soft rules not only solves the problems of low efficiency, incomplete coverage, and easy omission of hidden risks in existing manual review, but also solves the parsing difficulties caused by poor scanned document quality. This not only makes audit compliance review more intelligent and accurate, but also significantly improves the quality and efficiency of the review.

The application discloses a kind of legal document quality confrontation test method based on logic game, it is related to legal artificial intelligence technical field, including, collection legal document full-text data, and extract fact triple, evidence citation fragment, law article number and conclusion claim, generate structured argumentation set;Based on the confidence attenuation sequence of multiple rounds of game, in combination with the vulnerability propagation coefficient corresponding to different types of edges in directed heterogenous graph, carry out path vulnerability contribution value calculation, and generate legal document global vulnerability index by stratified accumulation;Based on logic breakpoint list, contradiction conflict list and legal document global vulnerability index, comprehensive evaluation legal document's logic integrity, argumentation consistency and conclusion robustness, generate structured check report.The application provides a complete and feasible implementation path for the automatic check of legal documents combined with natural language processing.

The invention relates to a document improvement and auditing function system and method based on artificial intelligence, and aims to improve document quality and working efficiency through an intelligent means. The system mainly comprises a document perfecting module, a document auditing module, a perfecting suggestion module, an auditing suggestion module and a document replacing and copying module. The document perfection module can automatically supplement or optimize missing content and improve the integrity of the document; and the document auditing module is used for automatically detecting grammar, semantic and format errors and ensuring that the document conforms to related standards and specifications. And the suggestion improvement module and the suggestion auditing module generate detailed improvement suggestions according to specific requirements to help the user to further improve the document quality. In addition, the system also supports functions of replacing and copying document contents, and the user can select to replace related parts in the current document with the perfected contents or copy the perfected contents into a new document for further editing. Through the function, document optimization is more flexible and efficient.

The invention provides an intelligent official document checking system and method based on AI drive, a storage medium and electronic equipment, and the system comprises a data layer which is used for collecting, storing and preprocessing official document data, and the official document data comprises various standard official document templates, historical official document data and official document processing standard files; the algorithm layer is integrated with a natural language processing module, a machine learning module, a knowledge graph module and a deep learning module and is used for identifying, analyzing and judging official document data; the application layer is used for constructing a format specification checking module, a content quality checking module and a sensitive information screening module based on the algorithm layer; and the interaction layer is used for interacting with a user, receiving an official document uploaded by the user and outputting a verification result to the user. The system provided by the invention can improve the administrative efficiency, improve the document quality, reduce the administrative cost and guarantee the information security.

The invention provides an intelligent quality assessment document generation system with a triple collaborative structure, and the system comprises a coordinator module which is used for receiving user input, accessing an NQI knowledge base module, analyzing demands, determining quality dimensions and indexes, and generating a document frame; the worker module is used for receiving the document framework, generating index content and completing content creation to obtain a first document; the supervisor module is used for receiving the first document, calling the document quality evaluation agent module for evaluation and generating a feedback report; and the feedback optimization processing module is used for receiving the feedback report, triggering optimization measures and evaluating the quality of the optimized document to obtain a final document. According to the technical scheme, efficient, accurate and intelligent quality evaluation document generation is realized.

The embodiment of the invention discloses a document retrieval method, device and equipment based on document quality screening processing, and the method comprises the following steps: retrieving candidate retrieval documents respectively associated with N pieces of query information from a knowledge base, carrying out block processing on the candidate retrieval documents respectively associated with the N pieces of query information to obtain P initial document fragments, p is an integer greater than 1; and performing feature extraction on the P initial document fragments to obtain document feature information corresponding to the P initial document fragments. Screening effective document fragments meeting document quality conditions from the P initial document fragments according to the document feature information corresponding to the P initial document fragments respectively; and according to the effective document fragment, the original query information and the extended query information, generating a target retrieval document of the original query information. According to the method, the document retrieval accuracy can be improved.

The present disclosure provides a document quality evaluation method and device, electronic equipment and medium, relates to the technical field of computers, in particular to the technical field of artificial intelligence and machine learning. The implementation scheme is: obtaining a plurality of document data of a target document; obtaining a document feature vector of the target document based on the plurality of document data; and performing predictive analysis on the document feature vector to obtain a quality score of the target document.

The invention discloses a document generation method and device, equipment and a medium, and relates to the field of artificial intelligence, and the method comprises the following steps: obtaining a document theme which is used for indicating theme content of a to-be-generated first document; obtaining a plurality of sample documents and a plurality of data contents, wherein the plurality of sample documents meet preset document quality requirements; determining at least one sample document from the plurality of sample documents based on the document topic, and determining a first data content from the plurality of data contents based on the document topic; performing format conversion on the first data content to obtain first chart content; analyzing the first chart content through a first natural language model, and outputting to obtain a first text content for describing the first chart content; analyzing the document theme, the at least one sample document, the first chart content and the first text content through the second natural language model, and outputting to obtain a first document. The document generation efficiency and the document quality can be improved.

Systems and methods to analyze and identify adaptations to document based on an audience of the document to improve a document quality are disclosed. Exemplary implementations may: analyze individual documents to determine its active lexicon from lexicons stored in electronic storage that the individual documents are comprised of; store the documents in correlation with the determined active lexicons in the electronic storage; generate, based on the lexicons and the correlations, audience scores for individual ones of the documents; store the audience scores in the electronic storage; receive a request to obtain a document; and effectuate presentation of the document and the audiences scores corresponding to the document.

The invention provides a verification method for an aviation interactive electronic file, and the method comprises the steps: obtaining the aviation interactive electronic file which is an XML file; extracting content elements from the aviation interactive electronic file; judging whether the content elements are consistent with preset content elements or not; when the content element is consistent with a preset content element, determining that the aviation interactive electronic file meets a verification requirement; otherwise, determining that the aviation interactive electronic file does not meet the verification requirement. According to the invention, the verification cost can be effectively reduced, and the file quality is improved.

The invention relates to a picture processing method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to an operation of pasting a picture in a document, and recognizing a content type contained in the picture; according to the identified content type, executing a corresponding content analysis operation on the picture to obtain a content extraction result; and replacing the picture with the content extraction result in an editable object form, or writing the content extraction result into a cursor position of the document, and setting a typesetting format of the content extraction result in the document. Therefore, the problem that the content is difficult to edit again due to the characteristics of the picture can be effectively solved, the flexibility and convenience of document editing are greatly improved, meanwhile, cross-type information conversion of copy and paste objects can be realized, information in the picture can be seamlessly combined with other content in the document, and the user experience is improved. Therefore, the document quality and the information accuracy are ensured, and more efficient and superior document processing experience is provided for users.

According to the scholar cooperation influence assessment method based on dynamic contribution weighting provided by the invention, firstly, through fusion of multi-dimensional features such as scholar roles, participation degrees, technical contributions and time-varying reference approval, refined and dynamic measurement of scholar contributions in a single cooperative literature is innovatively realized; the limitation of static distribution according to a simple signature rule in the traditional method is broken through; combining the dynamic contribution weight with literature quality to construct a weighted scholar cooperation network which more accurately depicts cooperation strength and quality; on the basis, a network influence propagation model based on dynamic weighting is introduced, the direct contribution influence of scholars is calculated, and the indirect influence obtained through cooperative network propagation is quantified, so that the real influence of the scholars in an academic community is reflected more comprehensively; by integrating direct and indirect influences and introducing time decay and subject normalization processing, the finally output comprehensive influence index has both time sequence dynamics and interdisciplinary comparability.

A computer-implemented document evaluation system employs dual metrics combining an Intrinsic Document Quality Score (IDQS) and Comparative Document Score (CDS) for dynamic, context-aware evaluation across domains. The system addresses the cold start problem by immediately generating IDQS for new documents using Large Language Model evaluation of structured summaries that exclude author and source information to reduce bias. Documents are continuously re-ranked through pairwise IDQS comparisons, with CDS scores updated using zero-sum scoring. The microservices architecture with distributed processing enables scalable handling of large volumes. A matching algorithm selects document pairs for comparison based on similarity metrics using feature engineering. The approach improves computational efficiency by comparing IDQS values rather than full documents while maintaining content quality focus. The system provides immediate quality assessment and evolving comparative evaluation, offering comprehensive document ranking adaptable to different fields and document types.

The embodiment of the invention discloses an SPEC-based artificial intelligence document generation method and related equipment. The SPEC-based artificial intelligence document generation method comprises four SPEC stages including a demand analysis stage, an outline generation stage, a task planning stage, a content creation stage and the like. According to the SPEC-based artificial intelligence document generation method, through a standardized SPEC four-stage process and in combination with key technologies such as a cue word constraint mechanism, progress label analysis and format label analysis, the intellectualization of the creation process of documents, especially professional documents, is realized, and the creation efficiency and the document quality are remarkably improved; specifically, a document creation process is divided into four ordered stages including a demand analysis stage, an outline generation stage, a task planning stage and a content creation stage, so that staged management can be realized, parameters are finely controlled in each stage, and a document which is easier to meet user requirements is generated. The method is widely applied to the technical field of artificial intelligence.

The invention discloses a bidding document quality evaluation and model training method and device, equipment and a storage medium, and the method comprises the steps: obtaining sample bidding document data, carrying out the quality evaluation of a corresponding sample bidding document through a low-rank adaptive large model based on the sample bidding document data, and determining a relative advantage value based on the accuracy, simplicity, integrity and formattability of a quality evaluation result; adjusting low-rank matrix parameters of the low-rank adaptation large model based on the relative advantage value to obtain a teacher model; performing quality evaluation on the corresponding sample bidding document through the teacher model and the student model based on the sample bidding document data, and obtaining and determining training loss of the student model based on target intermediate feature representation and target evaluation result probability distribution generated during evaluation; and adjusting model parameters of the student model according to the training loss. According to the method, the lightweight bidding document quality evaluation model capable of stably, accurately and efficiently evaluating the bidding document quality can be obtained through efficient training.

The invention discloses a method and a system for automatically generating a software design description by using a function source code. The method specifically comprises the following steps of: firstly, selecting a function to be described by an analysis program according to a function list and a calling relationship; the conversion program generates a description document with the function to be tested as a parent chapter and the called function as a child chapter; secondly, generating a function description table and a Viso or bmp format flow chart through automatic conversion for description of each function, and storing the function description table and the Viso or bmp format flow chart in the form of the function description table and the flow chart; and finally, converting a plurality of functions which are selected to be explained into a Word document in the form of a function explanation table and a flow chart, and fusing the Word document into a software design explanation document to form a complete explanation of the software. According to the method, the function source code can be automatically converted into the software design description, so that the consistency of the design document and the source code is fundamentally ensured, and the software design description document preparation efficiency and the software design description document quality are improved.