210 results about "Document Identifier" patented technology

The invention provides a file conversion method and device, equipment and a program product, and the method comprises the steps: obtaining a to-be-converted file which is an image file or a portable document format file, i.e., a PDF file; identifying elements in the to-be-converted file, determining attributes of the identified elements based on an identification result, and performing logic layering on the identified elements; the elements comprise texts; generating a structured document based on the logical layering result and the attributes of the identification elements; and converting the structured document or the edited structured document into an editable file in a portable document format, so that the PDF can be edited. According to the method and the device, the automatic conversion from the image or the PDF to the editable PDF is realized, and in the conversion process, through the structured document generated in the middle, while the logic level of the document is improved, a user is supported to carry out instant editing, and the editing efficiency and convenience are improved.

The invention discloses an unstructured file identification method based on primitive identification, and the method comprises the following steps: (1) preprocessing: cutting and zooming an electrical wiring drawing to a required size, and carrying out the gray processing; (2) primitive recognition: constructing a feature extraction network of an electrical primitive detection model by adopting a YOLO electrical primitive detection algorithm fused with an attention mechanism; (3) character recognition, which comprises the following steps: removing primitives, detecting an annotated text area, constructing a text candidate box, segmenting and adjusting an annotated text boundary, recognizing annotated text content, and filtering an electrical text recognition result; and (4) electrical element association relationship analysis, which comprises the following steps: frame element extraction, primitive group region division, template matching and electrical primitive-annotation text association. According to the method, the primitives and characters of the electrical wiring diagram can be obtained, the problem that different fonts and styles appear in marked characters can be solved, and semantic information can be understood.

In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query and a document identifier; determining, based on the document identifier, a document-type parameter; generating, based on metadata related to the document-type parameter, an optimized query; generating a query vector embedding from the optimized query; executing a lexical search on a document pool, wherein the lexical search is based on the optimized query, and wherein the lexical search returns a first document set; executing a contextual search on a vector database, wherein the contextual search is based on the query vector embedding and returns a second document set; and generating a targeted document set from the first document set and the second document set.

The invention relates to the technical field of electric digital data processing, and provides a secondary development code cross-product transplantation method and device, computer equipment and a medium. The method comprises the steps of loading a source project, screening a to-be-transplanted source code file, identifying an original API type, determining a mapping relation between the original API type and a target API type, and generating an adaptation layer code framework according to the mapping relation; copying the to-be-transplanted source code file into the target project; on the premise of keeping the project hierarchical structure of the source project, replacing the calling node of the original API type with the calling node of the adapter type, and replacing the namespace reference with the corresponding namespace in the target project to obtain a migrated source code file; and obtaining a secondary development project of the target project based on the second product API according to the adaptation layer code framework and the migrated source code file. According to the method and the device, the transplantation efficiency and accuracy of the transplantation of the cross-product secondary development codes are improved.

A system for extracting a number of data elements from one or more data sources. The system may separate the text from the tables in a document, such that only the table data may be sent to the large language model (LLM), when the LLM only needs to review the table data. The system may include converting a PDF to text, and separating the tables form the document text using markdown language from converting the PDF. The system may form table chunks and text chunks, index the chunks using a vector embedding and store a chunk identifier, document identifier, and or a page identifier with the chunk to provide result traceability. The system may, in response to a prompt, retrieve and send the targeted table chunks or text chunks to the LLM to extract the data elements. The system populates an ontological data store based on the LLM response.

In some examples, a code file in a development system is selected and the selected code file is segmented, using a language-specific parser, to create multiple parsed blocks. A block of the multiple parsed blocks is selected and a cryptographic hash function used to create a block signature that uniquely identifies the selected block. The block signature is compared to multiple signatures of blocks in third-party libraries. The multiple signatures are stored in an index. When the block signature matches one of the multiple signatures of blocks in third-party libraries, the index is used to determine a source file from which the selected block was copied. Vulnerabilities included in the source file and fixes to address the vulnerabilities are identified to enable a software developer to apply the fixes to the identified vulnerabilities.

The invention relates to a chemical enterprise knowledge base construction method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a document data set of a chemical enterprise, and sorting the document data set into independent knowledge units; and mapping each piece of document data to a high-dimensional vector space through an embedding mechanism of a large language model to generate an embedded vector, and storing the embedded vector and the corresponding document identifier into a vector database. Calling an embedded function to convert a natural language query text input by a user into a high-dimensional query vector, and calculating a similarity score between the high-dimensional query vector and each embedded vector in the vector database through vector similarity measurement so as to select associated document data with the similarity score exceeding a first threshold value. And splicing the natural language query text and the context of the associated document data into the input of an RAG generation model, generating an answer through a large language model, and constructing a knowledge base based on the generated answer in combination with the associated document data.

The invention discloses a graphical file editing system and method. The system is deployed in the form of an IDE plug-in, and comprises an editor extension module of a JBCefBrowser embedded browser, an editor extension module of a JBCefBrowser embedded browser, and an editor extension module of a JBCefBrowser embedded browser, the file identification module is used for scheduling a corresponding editor based on a file suffix; the graphical engine is used for performing classified rendering on the JSON / XML data based on the component metadata registry; the event processing module supports three-stage dragging and eight-direction zooming; an event driving communication module based on window.post Message, and an event driving communication module based on window.post Message; the operation module is used for synchronizing files and codes through a PSI interface; and a file template management module based on a. Ft template. The method comprises the steps of editor registration and embedding, file identification and loading, content analysis and rendering, interaction event processing, data persistence synchronization and template file creation. According to the method, graphical dragging and editing of the structured file are realized in the IDE, and the development efficiency and the normalization are remarkably improved.

The invention relates to the technical field of information retrieval, and provides a dialogue type generation retrieval method and system based on large model document index perception. The dialogue type generation retrieval method based on large model document index perception comprises the steps that according to user query input, a trained large language model is adopted, and an information sorting list related to the user query input is output; on the basis of a corpus, a cross attention layer is adopted, key information of a context is extracted, a proposition is obtained, and a document identifier is obtained; in the first-stage training, generating loss is introduced to generate information related to the current query, and a document identifier is generated; in the second-stage training, a ranking list of document identifiers retrieved by comprehensive loss optimization is introduced; and outputting a paragraph ranking list corresponding to the document identifier through a beam search decoding strategy. Through innovative document identifier design and training strategies, more effective context understanding and denoising are realized, and the dialogue type retrieval accuracy and user experience are improved.

The application relates to the technical field of text label marking, and provides a text specification marking method and system based on a rule corpus, which comprises the following steps: analyzing a policy and regulation document, identifying and marking condition morphemes and conclusion morphemes in the policy and regulation document, constructing a logical relationship between the two by using a large language model, and forming a rule corpus composed of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on a verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking semantic vectors as features and multi-labels as targets, so that a text specification marking model is obtained; and automatically marking target text by using the model. The application significantly improves the accuracy, interpretability and business adaptability of text marking, improves the update quality of a system label data set, and reduces the system maintenance cost.

The invention relates to the technical field of artificial intelligence, in particular to a multi-modal intelligent compliance pre-auditing method and system, and the method comprises the following steps: receiving a qualification package uploaded by a supplier, and automatically completing the decompression operation; accurately marking the decompressed page as five types of a subject license, a financial report, industry qualification, a product catalog and environmental protection and safety evaluation by using a layout perception model, and executing fingerprint hash de-duplication processing on the homologous file to generate a unique document identifier DocID; the method has the beneficial effects that the authenticity verification, financial analysis and directory matching of all qualifications of a single supplier can be completed within about 30 seconds by adopting a one-package type automatic sorting link and parallel API aggregation verification; and compared with the traditional manual item-by-item check which merges the process of several hours, the whole check period is shortened by more than 90%, and the manpower of compliance specialists is greatly released.

The invention discloses a bidding file data processing method and system, and the system employs a MoE mixed expert model architecture, and comprises a multi-type bidding file recognition module, a routing network, a professional sub-model library, a bidding file analysis engine module, and an automatic bidding file generation module. Wherein the bid invitation file is input into the multi-type bid invitation file identification module so as to identify the type of the bid invitation file; according to the type of the bid invitation file, calling a corresponding sub-model in a professional sub-model library; then the bid invitation file analysis engine module analyzes the bid invitation file; and the automatic bidding document generation module generates a bidding bidding document.

The present application relates to the technical field of parallel processing, and provides a parallel processing method and system for batch write-off tasks. The method comprises: extracting a plurality of pieces of query data of a preset write-off window, comprising external write-off codes and write-off services; performing file import on the basis of the data, and generating transaction files with unique identifiers; when file name identifiers are verified, parsing the external write-off codes, and generating fund files; generating pending write-off files by means of procurement-settlement mapping authentication; identifying request time identifiers to identify write-off conflicts, and generating conflicting file clusters; updating the configuration of a parallel processing module on the basis of the conflict condition; and utilizing the updated module to process the conflicting file clusters in parallel. The present application solves the technical problems of data conflict, irrational resource allocation and low processing efficiency caused by improper parallel processing in batch write-off tasks, and realizes real-time extraction, verification, parsing and authentication of write-off data, thereby ensuring the data accuracy and consistency.

The invention relates to the technical field of semantic understanding, in particular to a steel structure archive retrieval system based on semantic understanding, which comprises a semantic index construction module for reading a document text sentence by sentence based on an original document of a steel structure archive, matching a preset sensitive information ontology dictionary and establishing a steel structure archive security index. According to the method, the original document text of the steel structure archive is read sentence by sentence and matched with the preset sensitive information ontology dictionary to realize the identification of the special node construction and the sensitive information in the document, so that the document content can complete the effective labeling of the safe sensitive information in the index stage, and the safe grading of the archive data is realized from the source. According to the method, document identifiers and sensitive concept categories are aggregated in combination with role identifiers and retrieval keywords in user retrieval requests, document lists meeting conditions are screened out, document access permissions are compared with preset rules item by item, a content rewriting trigger instruction is formed through combination, and it is effectively ensured that user query results are strictly limited by the permission range.

The embodiment of the invention discloses a data retrieval method and device.The method can comprise the steps that a search condition is received, a first structured object is generated, and the first structured object comprises a query statement contained in the search condition; based on the first structured object, a score operator is created, the score operator comprises the first structured object, M document identifiers matched with the query statement and a scoring component, and M is a positive integer larger than 0; m first documents matched with the M document identifiers are obtained, and score description information corresponding to each first document in the M first documents is generated through a score component; based on the score description information corresponding to each first document and the first structured object, M second structured objects are generated, and one second structured object corresponds to one first document. By adopting the embodiment of the invention, the problem of time delay caused by acquiring detailed information of the search result during data retrieval can be solved, the method and the device are suitable for more business scenes, and the retrieval efficiency is improved.

The present invention relates to the field of document recognition technology, and discloses a method and system for automatically identifying regulations associated with letters. The method comprises the steps of file uploading, preprocessing, text recognition, chapter recognition, content extraction, tree structure building, and result display. In the image preprocessing, the present invention has accurate grayscale, flexible noise reduction, adaptive binarization, and efficient tilt correction, thereby improving image quality and ensuring the basis for text recognition. The text recognition process is innovative, and line segmentation and character segmentation are reliable and accurate. Character recognition combined with a standard character template library is intelligent and efficient, thereby improving accuracy. Table of contents recognition is judged in multiple dimensions through regular expressions, font features, and numbering structures, and the hierarchy is scientifically and verified, and the content extraction is reasonable. The tree structure is built based on the hierarchy, combined with refined node and content pairs, with clear levels. The modules of the system work together to achieve automated processing, providing users with convenient and intuitive display of regulatory information.

The invention relates to the technical field of text label marking, and provides a text standard marking method and system based on a rule corpus, and the method comprises the steps: analyzing a policy and regulation file, recognizing and marking a condition morpheme and a conclusion morpheme in the policy and regulation file, constructing a logic relation between the condition morpheme and the conclusion morpheme by using a large language model, and marking the rule corpus; forming a rule corpus consisting of structured morpheme pairs; performing semantic embedding on the corpus to generate a semantic vector library; performing multi-label coding on the verification data set based on the rule corpus, and constructing a multi-label training data set; training a deep learning classification model by taking the semantic vector as a feature and taking multiple tags as a target to obtain a text specification marking model; and automatically marking the target text by using the model. According to the method, the accuracy, the interpretability and the service adaptability of text marking are remarkably improved, the updating quality of the system label data set is improved, and the system maintenance cost is reduced.

The invention discloses a rapid identification and grading early warning method for sensitive files of customs field mobile equipment, and relates to the technical field of electronic data forensics, and the method comprises the following specific steps: constructing a sensitive key feature library, collecting and analyzing mirror image data, fusing and judging sensitive information, and automatically generating a sensitive grading early warning and risk report. According to the method, sensitive information samples of customs law enforcement cases, supervision notification cases and compliance public data sources are collected, and accurate extraction of four modal features of images, texts, audios and videos is ensured by using a multi-modal sensitive feature extraction formula; in the preliminary screening stage, file feature vectors are compared in batches through a preliminary screening similarity calculation formula, and suspicious files are quickly marked; in the recognition stage, multi-dimensional matching is adopted for files of different formats, and recognition confidence coefficients of all modes are generated; finally, whether the to-be-detected file is a sensitive file or not is judged through a comprehensive confidence coefficient calculation formula, and the omission ratio is reduced.

The invention provides a network-based service document multi-person cooperation message triggering type synchronization method and system, and relates to the technical field of computer networks, and the method comprises the steps: S1, employing a condition triggering type point-to-point lightweight message synchronization method from Client to Server to Client; s2, establishing a WebSocket communication connection between the client side and the server; s3, interactive transmission of data is carried out through a TCP protocol, the structure of a protocol packet comprises a Header part and a Body part, and the Header part is composed of a client MAC address of a Client, a login user identifier and a timestamp; the Body part is composed of a command identifier and a document number; and S4, generating a unique document identifier ERI for each document. According to the method, the situations that the collaboration efficiency of business receipts is low, errors are prone to occurring, and data are inconsistent can be avoided.

The invention provides an enhanced symmetric searchable encryption method and system, and relates to the field of data security and privacy protection. The method comprises the steps that a plaintext document set is symmetrically encrypted, keywords are extracted, and an encryption index token is generated through a pseudo-random function; constructing a reverse index structure, and mapping the token to a document identifier; dynamic insertion, deletion and modification of documents are supported, and indexes are synchronously updated in real time; cipher query is realized by generating a search token, and after the server returns a matching result, the client decrypts the matching result to obtain an original text. According to the system, through multi-keyword Boolean logic query, an index structure is compressed by adopting a Bloom filter, the retrieval efficiency is improved in combination with a jump pointer or a B + tree, a false query strategy is introduced to hide an access mode, and the anti-attack ability is enhanced. Compared with an existing scheme, the method has the advantages that the searchability, the system performance and the privacy protection capability of the encrypted data are improved, and the method is suitable for security data retrieval application in cloud computing, database systems and block chain environments.

The invention relates to the technical field of file automatic processing, in particular to a file identification processing system based on an artificial intelligence model and RAG, comprising the following modules: a file image preprocessing module used for receiving fax documents, scanning documents or electronic documents, and converting input documents into standardized images through denoising, angle correction and binarization processing; the file classification module is used for carrying out feature extraction on the standardized image based on a convolutional neural network and automatically classifying the file into a table type or an article type; and the article class preprocessing module is used for performing graying, binaryzation and text line segmentation on the document images classified into article classes. According to the method, through a multi-layer AI architecture of the convolutional neural network, the Transform OCR and the large language model, and in combination with a retrieval enhancement generation technology, full-process intelligent processing of documents from receiving, preprocessing, classification, OCR recognition, key information extraction to automatic routing is realized.

The invention belongs to but is not limited to the technical field of symmetric searchable encryption, and discloses an efficient wildcard keyword search method and system for encrypted data, the feature set # imgabs0 # of a keyword w is extracted by calling IndexSet (wi), the encryption algorithm # imgabs1 # in symmetric subset predicate encryption is called to encrypt # imgabs2 #, and the symmetric encryption algorithm SE.Enc (K, DB (wi)) is used to encrypt a document identifier containing the keyword wi. The two parts of ciphertexts are stored in an encryption database and outsourced to a cloud server; calling TrapSet (wq) for a keyword wq containing a wildcard character to generate a query set # imgabs3 #, calculating a decryption key tk for the query set # imgabs4 # through an S2PE algorithm, and finally sending the tk as a search trap door to a cloud server by a user; and for the obtained ciphertext identifier, the user obtains the corresponding identifier by using the key K. According to the method, false alarms of character sequences can be reduced or eliminated in searchable encryption of wildcard characters, leakage of feature matching modes is reduced, storage and query overhead in the search process is reduced, and search performance is improved.

In some aspects, the techniques described herein relate to a method including: receiving, at a query platform, a query and a document identifier; determining, based on the document identifier, a document-type parameter; generating, based on metadata related to the document-type parameter, an optimized query; generating a query vector embedding from the optimized query; executing a lexical search on a document pool, wherein the lexical search is based on the optimized query, and wherein the lexical search returns a first document set; executing a contextual search on a vector database, wherein the contextual search is based on the query vector embedding and returns a second document set; and generating a targeted document set from the first document set and the second document set.

The invention discloses an intelligent positioning method and positioning equipment for contract key fields, and relates to the technical field of artificial intelligence. In the method, a positioning device identifies an entity node, a declaration node, a reference node and an action node from a contract document set based on a preset semantic recognition rule; extracting a reference edge, a causal edge and a constraint edge from the entity node, the declaration node, the reference node and the action node based on a preset relation extraction template; constructing a cross-document causal graph based on the nodes and the edges, and labeling position information of each graph node in the contract document set and a document identifier to which the graph node belongs for each graph node; when a positioning request of a target key field is received, positioning a query node corresponding to the target key field in the cross-document causal graph; performing layer-by-layer traversal from the query node according to the type of the edge connected with the query node to obtain a termination node containing the actual value of the target key field; and outputting a positioning result of the target key field in the contract document set based on the termination node.

Telephone calls can be automatically verified by a telecommunication system using identity information about the caller. For example, a telecommunication system can receive a communication associated with a caller requesting to make a telephone call to a recipient. The communication can include a reference to a security certificate. The telecommunication system can access the security certificate, the security certificate having a public key and a document identifier. The telecommunication system can retrieve identity information from a storage location using the document identifier. In response to verifying the identity information using the public key, the telecommunication system can flag the caller as verified.

A client device for managing a distributed document is described. The client device comprises a transfer processor configured to exchange content data with a database, a spreadsheet processor configured to execute a file-based spreadsheet application, and a target processor configured to monitor content locations within a user interface. The transfer processor is configured to receive first content data that includes pre-existing data for a spreadsheet displayed by the application. The target processor is configured to populate first content locations with the first content data according to the identified content locations and capture second content data that is not included in the pre-existing data using content locations identified by a content profile. The content profile identifies content locations for the spreadsheet as displaying static content or user-based content. The transfer processor is configured to store the second content data in the database.

The invention discloses a multi-modal conference summary generation method and system based on a large language model, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving conference basic information uploaded by a user and a conference file containing a picture and an audio; the audio file is transferred into a structured text with a timestamp through an ASR voice transfer technology, and the picture file is recognized as an editable text through an OCR technology; conference basic information, a structured text and an editable text are integrated and converted into a structured conference summary first draft, then text cleaning and content error correction are performed on the first draft in combination with a large language model and predefined logic, participant information is extracted, and finally a customized instruction is input into the large language model through a prompt project to obtain a complete conference summary. And performing accurate filling according to a structured field of the predefined Word template to generate an editable conference summary Word document. The conference summary can be automatically output, and the writing efficiency of the conference summary is improved.

The invention provides an evaluation set generation method, equipment and a product. The evaluation set generation method comprises the steps that an RAG knowledge base containing knowledge documents and a question set of evaluation questions are acquired; extracting a theme of the knowledge document, and determining a document identifier of the knowledge document; constructing a first evaluation data set by using the theme and the document identifier; adding the question types into the first evaluation data set by utilizing a matching relationship between themes in the first evaluation data set and the question types in the question set to obtain a second evaluation data set; and inputting the second evaluation data set into the large model, and generating an evaluation set containing the document identifier, the theme, the question type, the question, the answer and the reference document.

Embodiments described herein relate estimating a privacy level of an anonymized dataset based on an anonymization strategy selected using parameters of the dataset that form a dataset profile. Methods may include: receiving a dataset defining at least one trajectory; determining parameters of the dataset; generating a profile of the dataset based on the parameters of the dataset to establish a dataset profile; identifying a predetermined profile corresponding to the dataset profile; determining an anonymization strategy corresponding to the predetermined profile; anonymizing the dataset using the anonymization strategy to generate an anonymized dataset; and publishing the anonymized dataset for use with location-based services. According to some embodiments, identifying the predetermined profile corresponding to the dataset profile includes identifying a predetermined profile having parameters within a predefined degree of similarity of the parameters of the dataset.

A federated-data-room server manages information about a collection of electronic documents residing elsewhere (under different organizational / customer control). The server can anchor documents to a blockchain, record usage history of each document, and provide access to the documents for authorized users. As a result, the federated-data-room server operates on customers' data, while leaving the data in control of the customers. At the same time, the federated-data-room server provides data access and enables traceability via blockchain recordation of document identifiers and document hash values.