312 results about "Electronic document" patented technology

In various examples, systems and methods are disclosed relating to displaying images in chatbot / NPC / virtual agent / digital avatar / etc. responses. A system can identify text corresponding to an image in an electronic document and can store a representation of the text in association with an identifier of the image. The system can receive an input prompt for a machine-learning model. The system can generate a response to the input prompt using the machine-learning model. The response can include the image responsive to identifying the representation of the text using a searching function and an output of the machine-learning model.

A method, a system, and a computer program product for generating a benchmarking dataset. One or more queries for generation of one or more summaries of one or more electronic documents are received. The queries are modified using one or more parameters associated with the electronic documents to generate modified queries. The electronic documents are sent to a generative artificial intelligence (AI) model. The generative AI model generates summaries of the electronic documents based on at least one of: the initial queries and the modified queries. One or more labels for the electronic documents are generated using the summaries.

The invention discloses an electronic document tracing method and device based on dynamic encryption and multi-modal watermarking, and relates to the technical field of information security and digital rights management. The method comprises the following steps: acquiring a PDF document uploaded by a user, encrypting the PDF document by adopting a randomly generated main encryption key, and acquiring and storing the encrypted PDF document; the content of the encrypted PDF document is analyzed, secret information is embedded into a picture in the document based on a two-dimensional discrete cosine transform algorithm, and picture watermark embedding is completed; a self-adaptive watermark embedding algorithm is adopted to embed secret information into a text in the document, and text watermark embedding is completed; related information of the checking operation is written into a block chain database; dynamically extracting watermark information from the divulged PDF document by adopting a watermark extraction algorithm; and querying a traceability database according to the extracted watermark information, and outputting a traceability result by comparing the extracted watermark information with information in a database storing various watermark information. According to the invention, the survival rate and the concealment of the watermark can be improved.

Systems, methods, and other embodiments associated with a framework for multi-entity detection, data sourcing, and processing are described. In one embodiment, a multi-entity processing method includes parsing an electronic document being processed in a processing flow for a first entity to detect that the document also concerns a second entity based on entity identifiers in the document. In response to the detection, the method determines an inter-entity agreement that governs processing between the first entity and second entity by matching attributes of the document against stored agreement data structures. The method automatically orchestrates processing of an inter-entity transaction between the first entity and the second entity by generating execution steps according to sequential and parallel dependencies specified by the inter-entity agreement. And, the method generates electronic records in a system of the first entity and a system of the second entity that reflect execution of the inter-entity transaction.

The invention relates to the technical field of information security, and discloses a handwriting dynamic encryption and electronic signature method based on a national secret algorithm, and the method comprises the steps: obtaining the handwriting data of a user, and carrying out the preprocessing of the data to remove noise and errors; carrying out feature extraction on the preprocessed handwriting data, extracting corresponding track features, speed features and pressure features, and generating a feature hash value of a unique identifier through a cryptographic SM3 hash algorithm; splicing and combining the feature hash value and a user private key, deriving a dynamic key through a national secret SM2 algorithm, and generating an electronic signature by using the dynamic key; an electronic signature is combined with a timestamp to form a structured signature packet, and the signature packet is hierarchically encrypted and stored in a database through a national cryptographic SM4 algorithm. According to the method and the system, the handwritten signature picture, the digital signature technology, the electronic signature technology and the biological recognition and layout file processing technology are fused, so that the safety and the reliability of electronic document signing are improved.

Techniques for identifying a document layout are disclosed. In one embodiment, attribute data associated with an electronic document is accessed. A machine learning model is then applied to the attribute data. The machine learning model is configured to classify the electronic document based on the attribute data and feature sets of a plurality of document classes. Based on the document class predicted by the machine learning model, the system identifies a layout associated with the document class. The layout specifies layout elements and content types associated with the layout elements. The system extracts and stores information from the electronic document according to its content type.

In methods and systems for generating secure verification documents are disclosed, a processor that is associated with a multifunction print device will receive one or more source electronic document files, each of which includes content of one or more source documents, each associated with a unique content creator. The processor will cause a print engine of a multifunction device to print a plurality of verification document sheets, each of which comprises data from at least one of the source documents and includes a unique identifier (ID). After printing each verification document sheet, the processor will cause a scanner of the multifunction device to scan the verification document sheet to capture a digital image of the verification document sheet. The processor will then save the digital images of the verification document sheets to a data store.

Embodiments extract a layout from a digital image of a document, including performing an analysis of image data to identify areas of content and storing the identified areas as design elements of an electronic document template. Analyzing the image data to identify areas of interest includes testing a plurality of lines of pixels from the digital image against a background color definition to identify boundaries of a content area of interest. Content from the content area of interest is processed using a machine learning model to assign a content type for the content area of interest, where the machine learning model represents multiple types of content and is trained to assign content types to input content. The content area of interest is stored as a design element of a digital page template.

A method, an apparatus, and a computer-readable storage medium for searching of electronic documents. A search query is encoded to form a search vector. The search query includes at least one search term and seeks information within a plurality of electronic documents. A knowledge graph structure is generated using at least one search term. The search term is associated with at least another term in a plurality of terms in the knowledge graph structure. The search query is modified using the other term to generate a modified search vector. A response to the search query is generated based on one or more responsive document vectors retrieved from the plurality of electronic documents and that are semantically similar to the modified search vector.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating content items based on source document metadata using a generative neural network. One of the methods include: receiving, from a user, a request to generate a content item using a generative neural network conditioned on a context input, wherein the context input comprises content derived from a source electronic document; obtaining metadata associated with the source electronic document; generating a prompt for the generative neural network based on the context input and the metadata associated with the source electronic document; processing the prompt using the generative neural network to generate the content item; and providing the content item for presentation to the user.

A computer-implemented natural language processing method can include storing a criteria embedding generated from a criteria document containing natural language or otherwise unstructured text in a vector database; for each individual document in the throughput of electronic documents: generating, with a first language model, a text summary of the individual document; conducting, using retrieval augmented generation, a semantic search to identify relevant passages from the vector database based on the text summary of the individual document; generating, with a second language model, retrieval-augmented text by performing semantic textual similarity with the identified passages and the text summary of the individual document; and generating, with a third language model, a set of assessment outputs based on the text summary of the individual document and the retrieval-augmented text.

An electronic document transformation and sharing system and method that allows a document originator control over an electronic document shared by the document originator with at least one recipient. An input device receives an original electronic document and document-specific controls instructions pertaining to said original electronic document. By transformation, a new encrypted transformation document is created from an original electronic document, the encrypted transformation document having a transaction ID and controls instructions embedded. A recipient, if authorized, may view the encrypted transformation document after decryption within the limits set by the controls instructions such as time span over which the document may be viewed or the number of times it may be viewed.

A system may determine environmental, social, and governance (ESG) goal data for an ESG clause type and determine that a first clause of a first electronic document of a plurality of electronic documents and that a second clause of a second electronic document of the plurality of electronic documents correspond to the ESG clause type. The system may determine first ESG commitment data based on content of the first clause of the first electronic document and determine second ESG commitment data based on content of the second clause of the second electronic document. The system may generate ESG metric data based on the first ESG commitment data and the second ESG commitment data and generate dashboard data based on the ESG metric data. The system may output the dashboard data.

The invention relates to the technical field of electronic document content review methods, particularly discloses an electronic document content review method, and aims to solve the problems that traditional manual review is low in efficiency and inconsistent in standard and implicit compliance risks are difficult to recognize. The method comprises the following steps of: performing unified analysis and OCR (Optical Character Recognition) conversion on a PDF, DOCX or TXT format document, extracting a full-amount text, and structurally dividing the full-amount text into semantic units such as a title, a term and an attachment; in combination with large-model deep semantic analysis and double-layer regular rule matching, hidden risks such as logic conflicts and fuzzy expressions and dominant violations such as terms, units and sensitive words are recognized respectively; multi-source detection results are fused, after deduplication, sorting is carried out according to risk levels, and a structured report containing problem positioning, basis and suggestion is generated; according to the method, high-precision, high-efficiency and interpretable automatic review is realized through a'large model + rule 'dual mechanism, and compliance consistency and processing efficiency are remarkably improved.

The invention relates to a digital and physical mixed signature method and device, electronic equipment and a storage medium, and relates to the technical field of information security, and the method comprises the following steps: calculating a document content hash value of an electronic document; obtaining random fiber distribution characteristics of a paper document bearing the electronic document, and generating a paper fingerprint hash value according to the random fiber distribution characteristics; performing data combination on the document content hash value and the paper fingerprint hash value, and performing digital signature processing on the combined hash value data by using a signature private key to generate a composite digital signature; and associating the composite digital signature with the electronic document, and outputting the electronic document for printing, so that the printed paper document is the unique physical entity bound with the composite digital signature. Through the application, an ideal balance can be obtained in three key dimensions of low cost, high safety and convenient verification, and an anti-counterfeiting means which can bind specific paper and can independently and conveniently verify is provided for a common printed piece.

The invention provides a multi-modal fusion analysis-based bid and string bid duplicate checking detection method and system, relates to the field of data processing, and solves the technical problems that in the prior art, the detection dimension of bid and string bid behaviors is single, the analysis is shallow, and all technical means cannot effectively cooperate with one another. The method comprises the following steps: acquiring bidding document electronic documents of a plurality of bidding parties, and respectively extracting text data, image data and quotation list data; processing the text data, the image data and the quotation list data, generating a corresponding text feature vector, an image comprehensive feature vector and a quotation feature vector, and obtaining a multi-modal feature vector; constructing an incidence relation graph based on the multi-modal feature vector; inputting the association relationship graph into a pre-trained graph neural network model, learning an association mode between nodes through the graph neural network model, and identifying a high-risk bidder group; the high risk represents that there are predefined similar or cooperative cheating behaviors.

The invention discloses a document layout analysis and reconstruction method based on vector topology and conflict arbitration, and relates to the technical field of document image processing, in particular to a method for carrying out accurate identification, classification and structured reconstruction on layout elements of an unstructured electronic document containing a complex vector chart. Constructing a page vector topological graph by using the bottom vector instruction and the connected topological structure; on the basis, multi-dimensional geometric features, statistical features and text mode features are introduced to jointly participate in conflict arbitration between the table and the complex graph; and applying a forced spatial exclusive constraint to text extraction by utilizing an arbitration result, and carrying out semantic classification and rearrangement in combination with a style reference and a spatial proximity relationship. According to the document layout analysis and reconstruction method, the distinguishing capacity of a table and a complex graph is improved, the attribution judgment precision of characters and a main body text in the graph is improved, and self-adaptive recognition of a title and a main body style is achieved under different layout styles.

A system generates, based on a first agent for a first persona and content of an electronic document, first feedback information for the first persona. Based on a determination that the first feedback information for the first persona indicates a first value for an attribute of the electronic document that causes a conflict with second feedback information for a second persona and that a second value for the attribute of the electronic document has been selected to resolve the conflict, the system generates, based on the first agent for the first persona, the second value for the attribute, and the content of the electronic document, updated first feedback information for the first persona. The system generates, based on the updated first feedback information for the first persona, a multi-agent report for the electronic document and output the multi-agent report.

The present disclosure relates to a technique for addressing an issue to be resolved associated with an electronic document. The method discloses accessing an actionable portion associated with a particular knowledge domain of the electronic document and associated context. Further, retrieve data from data sources to provide additional information related to the particular knowledge domain and the associated context. Then structuring the retrieved data to produce a subset of organized data and determine the issue to be resolved related to the electronic document. Further, generate data elements associated with the issue to be resolved and map dependency relationships between data elements. Also, determine test goals associated with the issue to be resolved based on the dependency relationships. Thereafter, determine corresponding test cases associated with resolution and determines actionable test steps related to the issue to be resolved based on the corresponding test cases associated with the electronic document.

Systems or techniques that facilitate knowledge graph construction via generative artificial intelligence are provided. In various embodiments, a system can access a plurality of electronic documents associated with design or fabrication of a medical imaging scanner. In various aspects, the system can construct a knowledge graph representing the plurality of electronic documents, by iteratively executing a generative text-to-text neural network on a design discovery tree associated with the medical imaging scanner. In various instances, the system can access a natural language query regarding the medical imaging scanner and can convert, via execution of another neural network, the natural language query to a structured query. In various cases, the system can execute the structured query over the knowledge graph, thereby yielding an electronic answer to the natural language query.

This document discloses a method and system for assessing integrity of a stack of ballots or other documents. A processor receives a first set of electronic source document files, each of which includes content of a corresponding source document. The processor generates a verification image, segments the verification image into slices, and causes a print device to print verification document sheets. Each verification document sheet includes data from one of the source electronic document files and, on an edge of the sheet, a unique one of the slices of the verification image. The verification document sheets are stacked so that the slices appear on a side of the stack and, when all of the verification document sheets have been placed onto the stack, the slices collectively form the verification image.

Methods for providing security in a document printing process are disclosed. In various embodiments, when a system comprising a print device receives source document files, then before printing it may ensure that the system satisfies various security conditions before it will print verification document sheets based on the source document files. For example, the system may require that data from all prior print jobs be cleared from the memory. The system also may require that the print device be restricted from external communications, browser application usage, or both. After printing all verification document sheets for all of the source electronic document files, the system may restrict the print device from processing any future print jobs until all data associated with the source electronic document files and the verification document sheets have been removed from the print device.

A method, a system, and a computer program product for generating a benchmarking dataset. One or more queries for generation of one or more summaries of one or more electronic documents are received. The queries are modified using one or more parameters associated with the electronic documents to generate modified queries. The electronic documents are sent to a generative artificial intelligence (AI) model. The generative AI model generates summaries of the electronic documents based on at least one of: the initial queries and the modified queries. One or more labels for the electronic documents are generated using the summaries.

The invention relates to systems for organizing and monitoring payments for trade operations. This system for the payment of commercial transactions includes a block for interaction with system users; a block for issuing and / or registering electronic documents (EDs) that confirm the financial obligations of the user designated in an ED to pay to the ED owner the designated amount of money in the designated currency; a block for creating, signing, encrypting, and storing smart contracts; a block for forming a closed chain of smart contracts for the purchase and sale of EDs, including at least one smart contract for the ED purchase and one smart contract for the ED sale in a currency different from the payment currency for the other smart contracts generated by the block for creating, signing, encrypting, and storing smart contracts. The technical result is manifested in increased efficiency, security and control over the implementation of payments for trade transactions.

In one aspect of the present disclosure, a method includes determining an electronic document to be secured for distribution to a distribution list. The method also includes selecting a first portion of the document to be associated with a first recipient from the distribution list. The method further includes generating a redacted electronic document. The first portion of the document is removed from the document. The method includes encrypting the redacted electronic document with an encryption key associated with the first recipient. Additionally, the method includes transmitting the redacted electronic document that was encrypted to a document management system for access by the first recipient from the distribution list.

A system determines first revision information based on a first plurality of changes and generates, based on the first revision information and content of an electronic document, first feedback information for the first persona. The system determines second revision information based on the second plurality of changes and generates, based on the second revision information and the content of the electronic document, second feedback information for the second persona. The system generates, based on the first feedback information for the first persona and the second feedback information for the second persona, a multi-agent report for the electronic document and outputs the multi-agent report.

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.

A system determines definition information for an agent of a plurality of agents configured to perform one or more actions associated with an electronic document. The system determines, based on the definition information for the agent and user information for a user associated with the electronic document, an ordered list of agent assignments indicating a plurality of actions to be performed by the plurality of agents. Based on a determination that the ordered list of agent assignments indicates the agent, the system determines, based on the definition information for the agent, input data for the agent and cause the agent to generate output data based on the input data. The system generates an executed document based on the output data.

The application provides a kind of automatic stamping method and system based on invisible watermark, comprising: the electronic text of automatic office unit uploading stamping file and the position information needing stamping;Automatic office unit replaces the electronic text without invisible electronic watermark in process with electronic text;Server informs automatic stamping robot unit to automatically print the electronic text in automatic office unit electronic stamping process;Automatic stamping robot extracts token information in hidden electronic watermark from paper text page by page;If each page token authentication passes, pass through OCR and image matching;Automatic stamping robot stamps information in server through the token of each page text, confirms whether each page text is stamped and where to stamp;Automatic stamping is carried out in the corresponding position of text document, and after stamping is completed, paper document is output.The application can efficiently realize the comparison of paper document and electronic document, and avoid the inconsistency between stamping file and electronic document in approval process.

The embodiment of the invention provides a service closed-loop verification method, a storage medium and a program product. A private key which has service operation authority and is authenticated by a server side is stored in a non-export area of an SIM card of terminal equipment, so that the risk that the private key is stolen and tampered is effectively avoided, and the security of an electronic signature is guaranteed from the key root; the server determines the binding relationship between the terminal SIM and the public key by means of the certificate, and verifies the electronic document signed by the terminal in combination with the public key, so that double confirmation of the terminal identity and the authenticity of the electronic document is realized, and the reliability of service data transmission and verification is ensured; meanwhile, the terminal and the server side enable the electronic receipt to become a core basis of a business closed loop through a complete interaction process of signature request-receipt signature-verification confirmation, thereby efficiently completing the determination of the business process closed loop, improving the normalization and closed loop efficiency of business processing, and improving the business processing efficiency. The method is suitable for various terminal-server interaction service scenes needing to guarantee safety and reliability.