116 results about "Intelligent document" patented technology

The invention relates to the technical field of intelligent processing of document information, discloses a method and a system for extracting RAG type data items and checking consistency for engineering technology documents, and solves the problem that an existing scheme is difficult to consider high-accuracy extraction, cross-document consistency, strong traceability and structured landing in engineering technology document data processing. The scheme comprises the following steps of: performing layout analysis and necessary OCR (Optical Character Recognition) processing on a received document, and dividing the document into multiple levels of text blocks; carrying out vectorization processing on the multi-level text blocks by adopting an embedding model subjected to two-stage fine adjustment, establishing a vector index and recalling candidate fragments to form a candidate fragment set; a cross encoder with efficient fine tuning of parameters is adopted to screen out high-correlation fragments; performing standardization processing by extracting a target variable to form a structured record; consistency checking is conducted on the target variables, and finally structured records and checking results are bound with minimum evidence fragments and corresponding position information to be exported through a format list.

The invention provides an intelligent document understanding method and system combining natural language processing and deep learning, and relates to the technical field of natural language processing and information management. Fusing the semantic pre-annotation result and the original text feature of the document, inputting the fused semantic pre-annotation result and the original text feature of the document into a cross-modal semantic enhancement model to obtain a document enhanced semantic representation, performing bidirectional semantic interaction with a dynamic business knowledge network based on the document enhanced semantic representation, generating an associated interaction result, and constructing a structured semantic asset; finally, the structured semantic assets are input into an intelligent document application engine, semantic feedback data are collected to optimize model parameters, document understanding accuracy and practicability can be improved, and diversified business requirements are met.

The invention relates to the technical field of intelligent retrieval, in particular to an intelligent document question answering and knowledge base retrieval method and system based on a large model. The method comprises the following steps: acquiring an initial query and performing semantic analysis, generating pseudo-fact fragments containing positive, negative and neutral contexts by using a first large language model in combination with a domain entity word list, and splicing the pseudo-fact fragments into a fused imaginary document; respectively vectorizing the query document and the imaginary document, carrying out weighted fusion according to a query-centrality coefficient to generate a retrieval vector, and retrieving in a knowledge base to obtain a candidate document set; generating a draft answer by using a second large language model, performing traceability comparison on each statement, and marking non-traceability or fact conflict items; and taking the draft and the mark as a correction instruction to be input into the model for correction, and generating a final answer. According to the scheme, the retrieval precision can be improved through multi-view document fusion, illusion is restrained through a closed-loop verification correction mechanism, and evidence reliability is ensured.

The invention belongs to the technical field of intelligent document processing, and particularly relates to a large model information extraction and structure restoration system for a long text document. The system comprises an extraction point defining and text preprocessing module which is used for carrying out deep preprocessing and analysis on an input unstructured document, extracting text and coordinate information and identifying and protecting a special structure; meanwhile, an intelligent dynamic blocking strategy based on semantic boundaries is adopted, a dynamic overlapping mechanism is combined, and an input document is divided into text blocks keeping semantic integrity; the high-concurrency processing and scheduling control module is used for processing the text blocks in batches, calling a large language model to carry out distributed reasoning and outputting a dispersion result; and the extraction reasoning and result fusion module is used for performing semantic deduplication, entity alignment and confidence fusion on the dispersion result returned by the large language model to generate globally consistent structured output. The method has the advantages of being high in precision, high in speed, controllable in cost and high in robustness.

The invention provides a document generation method and device, an intelligent agent, equipment, a medium and a product, relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, natural language processing and large models, and can be applied to the field of intelligent documents. According to the specific implementation scheme, in response to a received document generation request, document description information carried in the document generation request is input into a large model, document outline information of an output target document is obtained, and the document outline information comprises chapter description information used for describing a target chapter; determining the chapter content type of the target chapter based on the chapter description information; determining a target tool from the plurality of candidate tools based on the chapter content type and the respective tool attribute information of the plurality of candidate tools; based on the tool calling information of the target tool, calling the target tool to generate chapter content of the target chapter; and generating a target document based on the chapter content of the target chapter.

The invention provides a PowerPoint data processing method and device, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of intelligent documents, webpage development, deep learning and the like. The method comprises the steps of obtaining presentation data based on a preset structured format, wherein the presentation data comprises respective structured description information of a plurality of presentation elements; converting the PowerPoint data into a page description format supported by a webpage editing environment to obtain initial page description data; drawing a plurality of presentation file elements in a webpage editing environment; in response to the detected target operation on the multiple presentation file elements, obtaining target page description data of the webpage editing environment after the target operation is described; comparing the target page description data with the initial page description data to determine an editing intention; based on the editing intention, determining a change instruction which conforms to a preset structured format and aims at the presentation file data; and updating the PowerPoint data by using the change instruction.

The invention discloses a method for generating a controlled file template based on deep learning, and relates to the technical field of intelligent document processing, and the method comprises the steps: collecting document data, obtaining a multi-modal data set through preprocessing, and generating a domain knowledge graph; based on an optimization learning strategy, optimizing the template generation and content evaluation task through a reinforcement learning algorithm to obtain a file template; performing format specification evaluation and content rationality evaluation on the file template by adopting a self-supervised learning method, and adjusting a template layout structure and content terms and details to generate an optimized file template; according to the real-time feedback data, feedback learning and template adjustment are conducted on the optimized file template through an incremental learning method, and a controlled file template is generated. The template quality is improved, manual intervention is reduced, and a basis is provided for continuous optimization.

The invention discloses a general document structured analysis method, and relates to the field of document intelligent analysis, and the method comprises the following steps: carrying out global layout analysis based on a thumbnail to obtain each layout area position; performing local content identification on each layout area based on the native resolution to obtain corresponding element contents; and sorting and splicing the element contents to obtain the structured document. Through decoupling global layout analysis and local content recognition, computing resources are accurately put into an information area, and unification of efficiency and precision is achieved; and multiple tasks are processed through a unified model and special elements are processed through a special algorithm, so that the integrity and accuracy of analysis are ensured.

The invention discloses an intelligent analysis method and system for a drilling geological design document and a medium, and belongs to the technical field of intelligent document management.The intelligent analysis method comprises the steps that by converting the naming format and type of the document, chapter catalogs, characters and tables of a text are screened out, the chapter catalogs, content and tables are cleaned, and the content of the text is obtained; and matching the cleaned chapter catalog with a standard template catalog to complete text analysis. According to the intelligent analysis method provided by the invention, the historical drilling geological design document can be automatically analyzed, the analysis efficiency and accuracy are greatly improved, the geological design knowledge base is established, a data basis is provided for intelligent generation of drilling geological design, and the data application value is further improved while the working efficiency of business personnel is improved. Meanwhile, the oil field data treatment cost can be greatly reduced, and the purposes of reducing cost and increasing efficiency are achieved.

This invention provides a method for intelligent content referencing in document editing, relating to the technical field of intelligent document referencing technology. The method includes: displaying a source document selection interface in response to a user's insertion operation in the main document; displaying at least one page of the source document in response to the user's selection of the source document; determining the selected target page in response to the user's selection of the page; parsing the document structure of the target page, identifying and visually displaying at least one content block within the page; recommending a corresponding insertion method based on the type of the content block; and inserting the content block into the main document according to the selected insertion method in response to the user's selection of the content block and confirmation of the insertion method. This invention solves the problem of low content referencing efficiency, thereby improving the efficiency and accuracy of content referencing.

A method includes classifying an uploaded document from a user application by a large language model (LLM) to obtain a ranked list of document types of the uploaded document. A multitude of pathways corresponding to the ranked list of document types is retrieved. A first portion of each of the multitude of pathways is executed in parallel to obtain a multitude of evidence structures. The evidence structures are processed using a personalized ranking model of a user of the user application, to obtain a ranked list of pathways. The ranked list of pathways is presented in the user application. A selected pathway is received from the user application. A second portion of the selected pathway is executed to process the uploaded document.

The invention discloses an intelligent document understanding and auditing optimization method for multi-scene power grid services, which relates to the technical field of electric power informationization, and comprises the following steps of: acquiring time sequence information in a multi-scene service document, extracting scene boundary keywords, condition scale words and execution mood words, and calculating a scene boundary keyword; and constructing a semantic time difference scale band on the unified time axis, and constructing a scene fingerprint table based on the semantic time difference scale band. According to the method, a semantic scale band and a fingerprint table are constructed based on a unified semantic time axis, and a semantic attribution and conflict structure is identified; visual path analysis is realized through the conflict corridor and the convergent point; reconstructing a behavior rhythm in combination with an off-peak release and avoidance mechanism; finally, a dynamic regulation and control closed loop is constructed, and the auditing accuracy and safety are improved.

The invention provides a key point information generation method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, natural language processing, intelligent documents and the like. The method comprises the steps of generating a segmentation outline according to document contents of paragraphs in a to-be-processed document; according to preset theme information and the segmentation outline, paragraphs in the to-be-processed document are aggregated, and multiple aggregated theme contents are obtained; the theme content is segmented according to preset sub-themes, multiple segmented sub-theme content is obtained, and the sub-themes are sub-classes of themes obtained by dividing the theme information; and generating key point information for the to-be-processed document according to the information of the paragraphs in the multiple sub-theme contents. According to the method, the generation time of the document key point information is shortened, and the generation efficiency of the key point information is improved.

The invention discloses a document processing method and device based on intention perception, and relates to the technical field of artificial intelligence. The method comprises the following steps: respectively converting text data, image data and behavior data into text features, image features and behavior features through corresponding pre-training models; after being spliced, the features are mapped to a shared feature space through a full connection layer, and shared features after document-behavior-vision fusion are obtained; performing preliminary prediction on the shared features through an intention prediction module, a content recommendation module and a chart analysis module to obtain preliminary prediction results corresponding to the three modules; and dynamically optimizing the preliminary prediction result according to a preset interaction rule to obtain an optimized target text and an optimized chart abstract so as to generate a target document. According to the embodiment of the invention, the preliminary results of the three modules are mutually optimized through a collaborative interaction mechanism, and the error of independent prediction is reduced, so that the efficiency and accuracy of intelligent document processing are remarkably improved.

The application discloses a tobacco professional knowledge document processing and analysis method based on multi-level feature aggregation, and relates to the technical field of natural language processing. The method can adapt to tobacco professional knowledge documents with different degrees of structuring through intelligent document classification and differentiated preprocessing; can capture semantic and knowledge features of different granularities of the documents in layers through three-level feature progressive extraction and cross-level feature fusion; can realize accurate blocking in line with the knowledge semantic boundary based on the fused multi-level features through semantic segmentation matching the corresponding processing pipeline, so as to guarantee the semantic independence and integrity of each document block; can realize the uniformity of professional expression and the enrichment of information dimension of the document block content through term standardization, entity link processing and context enhanced information supplement; and can convert the standardized knowledge block into vector data which can be efficiently searched and accurately called through vectorization processing and writing of the vector library of the supporting hierarchical feature metadata.

This invention discloses an intelligent document generation system and method for the judicial field, relating to the field of document analysis technology. The generation method includes the following steps: performing structured analysis on historical judicial documents and extracting elements from the documents; establishing relationships between different elements; constructing a logical chain for the document based on the relationships between elements in any judicial document; comparing the logical chains of different judicial documents and identifying elements that exclude logical chains; generating relevant legal provisions matching the elements based on real-time collected case elements and logical chains; identifying the most applicable provisions and generating an initial document based on the exclusion of logical chains; evaluating the confidence level of each element in the initial document; optimizing the text of the initial document based on the evaluation results and providing risk warnings for potential elements; thereby improving efficiency while ensuring the professional quality and judicial security of the final document.

This invention provides a document big data processing method and system based on artificial intelligence, belonging to the field of intelligent document data processing technology. The processing method includes: acquiring document file data; performing character recognition on the document file data to obtain readable text data; performing keyword segmentation on the readable text data to obtain multiple document keywords; performing evolution detection on the document keywords to obtain detection results; when the detection results detect evolved words in the document keywords, analyzing the evolved words to obtain corresponding matching semantic phrase data; and setting corresponding labels for the evolved words and matching semantic phrase data to form corresponding semantic sentence patterns to complete the semantic parsing processing of the document file data. The method and system provided by this invention can improve the efficiency and effectiveness of intelligent parsing of uncommon evolved words and can effectively enhance the level of semantic parsing processing of document big data.

This utility model relates to the field of intelligent document safes, specifically an intelligent document safe comprising a main body, a security mechanism, an auxiliary mechanism, and a power supply mechanism. The security mechanism is located outside the main body, the auxiliary mechanism is located inside, and the power supply mechanism is located inside the main body. This utility model provides multiple protection measures for the safe through the arrangement of the 3D structured light facial recognition module, the display screen, and the vein recognition module in the security module, as well as the anti-drill mechanical lock cylinder. Furthermore, the cabinet structure is made of three layers of composite board composed of different materials, which reduces weight while significantly improving fire resistance and anti-theft performance. At the same time, the power supply mechanism supplies power to the security mechanism. The power supply mechanism is equipped with a rechargeable lithium battery that can last for up to two years and is also equipped with a hand-cranked generator for backup power in emergencies. In addition, a dehumidifying box is added to prevent prolonged moisture interference to electronic components, thereby extending the service life of the electronic components.

This invention relates to the field of intelligent document processing technology, specifically to a method and system for document processing in power transmission and transformation scenarios based on a brain-like memory mechanism. The method includes the following steps: generating a query plan based on query intent; recalling relevant documents from a hierarchically modeled power transmission and transformation document knowledge base; and extracting and reasoning information from the recalled documents using a dual-path parallel processing mechanism and a hierarchical abstraction processing mechanism; filling in a structured form according to a predefined template to generate preliminary structured output; simultaneously transforming the extracted and reasoned information into interpretable reasoning chain records; generating memory cases based on the reasoning chain records and confidence assessment results; and storing and optimizing the memory cases using a brain-like memory mechanism. This method possesses the ability to handle complex multi-step reasoning tasks, significantly improves reasoning accuracy, automates document information extraction, and greatly reduces manual processing time.

This invention relates to the field of intelligent document processing technology, specifically disclosing a method and system for identifying and verifying the directory hierarchy of tender documents based on deep learning. The invention obtains first directory information and second directory text information, performs hierarchical identification on the second directory text information using a deep learning model to obtain the second directory information; extracts hierarchical node features based on the first and second directory information respectively, constructs a joint matching alignment mechanism through node features, and outputs directory matching pairs; executes a multi-category anomaly classification and detection strategy based on the second-level directory matching pairs to determine the category of directory anomalies, and assesses whether manual intervention is needed by statistically analyzing the number of multi-category directory anomalies; and performs difference merging and correction on the second directory information based on the multi-category directory anomaly types to output the final directory information. This invention can improve the efficiency of tender document preparation and enhance the consistency and standardization of the directory structure.

This invention relates to the field of enterprise information management and intelligent document processing technology, specifically to an AI-based enterprise management document automatic archiving system based on semantic analysis. The system includes a cloud-based multi-source heterogeneous data acquisition module and a base semantic anchoring module, a spatiotemporal business graph construction module, a semantic context gravity coupling calculation module, and a fluid archiving execution module. By acquiring the location characteristics and flow range of business interface nodes and data source nodes, the system divides data into sub-regions, periodically collects document flow data and business pulse flow data, generates basic semantic vectors and business state weights, constructs a dynamic graph, calculates real-time correlation gravity, and executes virtual view archiving and permission mapping switching. This invention achieves the synchronous evolution of document archiving location, document permissions, and business visibility, avoiding the formation of knowledge silos due to fixed folder structures.

The invention relates to the technical field of intelligent document information processing and business data management, in particular to a verification reasoning error correction method and device based on a large model, and the method comprises the steps: reading a field configuration file containing a field structure, a field mapping relation, an identification model identifier and a cross-field verification rule; analyzing the to-be-processed document file to obtain a document image, and calling the multi-modal large model to output a field key value pair and a field position according to the identification of the identification model; and inputting the field identification result into a rule verification engine to generate an abnormal field list and an error correction prompt, receiving manual correction content to update a field key value pair to obtain a correction field identification result, and generating structured data according to a field mapping relation to be output to a service system. According to the invention, missed extraction and mismatching are reduced, and the manual rechecking range is reduced.

The invention relates to the technical field of intelligent document review, in particular to an intelligent document review method and system based on large model fusion causal reasoning, and the method comprises the steps: collecting documents, extracting formats and null lines, recognizing roles and actions, retrieving nouns after verbs, processing semantic repetition, outputting a table, checking causal connections, comparing action sequences, screening and joining, ranking verbs, and pulling through actions. And outputting causal fragments, checking consistency, separating objects, calibrating behaviors, outputting chain fracture, splitting adverbs, sorting relationships, and outputting conflict paths and review paths. According to the method and the device, by extracting the paragraph formats, roles and actions of the documents, the meticulousness of review is improved. And analyzing a causal conjunction and an action relationship, and identifying a causal relationship and a semantic conflict. The method comprises the steps of calibrating an action sequence, identifying missing parts, sorting multiple actions and role changes, optimizing an examination path, reducing manual intervention and improving efficiency.

According to the automatic report document generation method fusing the large language model and the visual component, a conversion scheme from data to a report is briefly and clearly constructed through three steps of data definition, component definition and template management, and intelligent data acquisition, text retouching, intelligent data analysis, intelligent style adjustment and intelligent document summarization are realized by fusing the large language model. According to the method, a user is helped to construct an efficient and available report template, template contents and styles are freely combined through a visual editing interface, and a high-availability report document is output. Compared with the prior art, the method has the following characteristics: (1) the intelligent summarization analysis capability of data driving is realized; (2) a high-degree-of-freedom and visual template editing interface is supported; and (3) the modularization architecture realizes'one-time definition and multi-report multiplexing '. And (4) the RAG enhanced natural language to SQL capability is fused, and the data access threshold is reduced. And (5) supporting AI-driven style optimization and full-text summarization.

The invention provides a heterogeneous file standardization processing method and device based on an OCR and a large model, and relates to the technical field of intelligent document paragraption.The method comprises the steps that a to-be-processed file is obtained, content extraction is conducted on the basis of a file name suffix of the to-be-processed file, and extracted content is obtained; generating a dynamic cue word based on an anchor point variable by utilizing the extracted content, a pre-constructed self-defined file type library and a pre-generated dynamic cue word template; and inputting the dynamic cue word into a large model for analysis to obtain a standardized analysis result in a preset format. According to the heterogeneous file standardization processing method and device based on the OCR and the large model, the new file type can be expanded without modifying codes, and the structured data are stably output, so that the adaptability, the accuracy and the processing efficiency are remarkably improved.

This invention discloses a method, system, and storage device for generating high-fidelity invoice data based on browser kernel dynamic rendering and dual-pipeline physical simulation, belonging to the field of artificial intelligence and big data processing technology. It includes: constructing a metadata generation engine to generate an invoice text data stream; constructing an HTML invoice template, injecting the invoice text data stream into the template, and dynamically rendering to generate a high-resolution invoice bitmap; obtaining the original coordinate set of the rendering layer; correcting the original coordinate set using a compact bounding box to obtain pixel-level precision labeled coordinate data; enhancing the invoice bitmap and the corrected labeled coordinate data to generate a physically simulated invoice image; and serializing and outputting the invoice image and a heterogeneous labeled file containing the corrected labeled coordinate data. This invention utilizes a browser rendering engine to generate structured documents and simulates real physical environment interference through computer graphics algorithms, thereby generating data for training an intelligent document processing model.

The invention discloses an intelligent document classification, label generation and abstract extraction method and system, and belongs to the technical field of natural language processing and information management, and the method comprises the following steps: document preprocessing: carrying out data cleaning and standardization processing on an uploaded document; text feature extraction: extracting semantic features in a document through a deep learning model, and identifying key information in a text; document classification and label generation: automatically classifying the documents by using the classification model, and generating related labels for the documents; document abstract and key information extraction: automatically generating an abstract of the document by adopting a text abstract algorithm, and extracting core information of the document; and post-processing and optimization: verifying and optimizing the generated classifications, labels and abstracts to ensure the accuracy and correlation thereof. According to the method, manual intervention can be greatly reduced, the document management efficiency can be improved, the information retrieval accuracy is improved, and the labor cost is reduced.

The application discloses an intelligent document understanding and automatic form filling system based on a multimodal large model, comprising a multimodal document coding module, a document-form semantic alignment module, an information fusion module, a form constraint checking module and an intelligent form filling module. The application fuses multimodal information such as document images, text content, table structures, form fields and knowledge bases, constructs a multimodal document encoder, a document-form semantic alignment module, a cross-document information fusion module, a form constraint understanding module and an intelligent form filling module, realizes extraction of structured information from a source document, understanding of field meanings and filling rules of a target form, automatic matching and filling of information, supports cross-document information completion, format conversion and consistency verification.

The invention discloses a note positioning method and device, electronic equipment and a storage medium, and relates to the technical field of computers, in particular to the field of artificial intelligence such as natural language processing and intelligent documents. According to the specific implementation scheme, in response to detection of a backtracking positioning operation for a target note displayed in a first page, source positioning information of the target note is obtained; determining a target source of the target note according to the source positioning information; loading and displaying the target source in a second page; and controlling a display window of the second page to roll to a corresponding position of the target note in the target source according to the source positioning information.

This invention discloses an intelligent document generation method and system based on a dual-engine collaborative mechanism to solve the technical problems of low efficiency, long proofreading time, and low accuracy of proofreading results in existing document generation methods. The invention comprises six parts: pre-construction of the database, input of document requirements, generation of initial drafts, enhanced retrieval review and proofreading, revision of initial drafts, and document output. The intelligent document generation engine generates initial drafts based on semantic understanding and reinforcement learning techniques; the enhanced retrieval review engine corrects descriptive and factual errors in the generated content through semantic vector retrieval, knowledge graph retrieval, and policy database matching. The beneficial technical effect of this invention is that the "dual-engine" collaborative mechanism ensures real-time interaction, guaranteeing the compliance and accuracy of document content.