5 results about "Document preparation" patented technology

The invention belongs to the technical field of artificial intelligence, and particularly relates to a bidding document requirement intelligent checking method and system driven by a large language model. Comprising a bidding file requirement knowledge base, a bidding file analysis module, a bidding file analysis module, an intelligent checking module and an auxiliary modification module. The method has the advantages that based on the large language model technology, the problems that in the bidding document checking process, semantic understanding depth is insufficient, multi-modal data integration is missing, dynamic rule generation lags and the like can be effectively solved, and high-precision and full-automatic intelligent checking required by the bidding document is achieved. The method has the following advantages: the checking efficiency is improved: the automatic checking is 95% faster than the manual checking, the average time is shortened from 3 hours per copy to 9 minutes per copy, the checking efficiency is greatly improved, and the bidding document compilation cycle is shortened.

The invention discloses a bid invitation file compiling method and system based on artificial intelligence, a medium and a product, and relates to the field of intelligent contract processing. The method comprises the steps that a file compiling system divides a natural language text into first text content containing computational logic and common second text content through semantic analysis; then, the first text content is converted into an executable formalized rule expression, and an association mapping relation between the executable formalized rule expression and the first text content is established; and calculating and generating a derivation record containing parameters, calculation steps and dependency relationships according to the expression. And finally, embedding a unique tracing identifier in the generated clause text, and querying and displaying a derivation record through the association mapping relationship by triggering the identifier by a user. According to the method, a complete traceable link from the natural language to the calculation result is realized, so that auditing personnel can clearly understand the logic source of the calculation result, the interpretability and the credibility of the generated calculation terms are improved, and the verification efficiency and the accuracy of the bid invitation file are improved.

This invention relates to a method, apparatus, electronic device, and storage medium for intelligent bid document writing, belonging to the field of artificial intelligence technology. The method includes: obtaining a first bidding requirement from a bid document; based on the first bidding requirement, searching in a question-and-answer system for a second bidding requirement with the highest similarity to the first bidding requirement; determining the response content based on the second bidding requirement with the highest similarity; and generating a bid document corresponding to the bid document based on the response content. The intelligent bid document writing method provided by this invention pre-imports the second bidding requirements and response content associated with historical bid documents into a question-and-answer system to obtain all first bidding requirements from the bid document. After retrieving previously responded content from the question-and-answer module by calculating the similarity between the first and second bidding requirements, the content is processed by a large model to generate the bid document. This reduces repetitive work in the bid document writing process, improves bid document writing efficiency, reduces basic errors in the bid document editing process, and improves accuracy.

This application provides a document generation system and method based on hierarchical control, relating to the field of artificial intelligence technology. The system includes a hierarchical framework construction module, a content scope control module, and a clause generation module. The hierarchical framework construction module matches document templates according to the target document category and performs hierarchical transformation processing on the undetermined content blocks in the templates using a classification model to generate a hierarchical document framework. The content scope control module evaluates the content importance of the framework based on an attention gating mechanism and determines the content boundaries to generate a content outline based on the evaluation results. The clause generation module constrains and generates clauses based on the content outline and a pre-set structured knowledge base, ultimately outputting the target document. This application, through a hierarchical control strategy and an intelligent evaluation mechanism, achieves a high degree of automation in document generation while ensuring the professionalism and accuracy of the document in multiple dimensions such as structure, logic, and content, significantly improving the efficiency and quality of document preparation.

The application discloses an intelligent auxiliary generation method and system of an administrative punishment case file. The method adopts a three-column parallel layout in a document preparation interface: left navigation, middle editing, and right intelligent review. When a user edits, the system analyzes the content in real time based on a rule base, classifies and displays the review results in the right area, and provides a contrast view of the original text, modification suggestions, and risk explanations for each result, as well as 'position original text' and 'accept revision' function keys. The user can adopt the suggestions with one key and automatically complete the correction. The application deeply embeds intelligent review in the document writing process, and realizes real-time guidance and efficient improvement of the quality of the case file documents through intuitive interaction design.