Automated Official Document Review Using BERT and Layout Detection
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Solution Overview
Problem
Manual review of official documents is time-consuming and labor-intensive, with a high risk of missing standardization requirements due to the large volume of documents and complexity of 15 types of official documents.
Innovation Solution
An automated official document processing method using a BERT model for format analysis, text processing model for synchronous detection of text format, content, and frame layout, and a distributed framework to identify and mark errors, allowing for quick and accurate review without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of official documents is performed, then reviewers can familiarize themselves with standardization requirements, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the mechanical manual review system with an automated intelligent review system using BERT models and text processing algorithms. The system automatically performs format analysis, text content detection, and frame layout detection, eliminating the need for manual mechanical review while maintaining or improving review accuracy through systematic rule-based detection.
Solution Approach 2:
The patent introduces an intermediary intelligent review system that acts as a mediator between the official document and the reviewer. This system includes format analysis modules, text processing models, and detection rules that process the document automatically, providing structured review results that assist reviewers without requiring them to manually examine each document.
2Reliability
If manual review of all 15 types of official documents is performed word by word, then standardization requirements can be checked, but the process becomes extremely labor-intensive
Solution Approach 1:
The patent segments the review process into three independent modules: format analysis (checking document structure and file type), text content detection (verifying text meets standardization requirements), and frame layout detection (validating document layout). Each module operates independently with specific detection rules, enabling comprehensive review of all 15 document types without requiring sequential word-by-word manual examination.
Solution Approach 2:
The patent creates a universal intelligent review system that can handle all 15 types of official documents through a single integrated platform. The system uses configurable detection rules and BERT models that adapt to different document types, eliminating the need for separate manual review processes for each document type while maintaining review completeness.
3Productivity
If automated review system is implemented, then review efficiency improves, but system complexity increases
Solution Approach 1:
The patent divides the automated review system into three independent, modular components: format analysis module, text processing model, and detection rule engine. Each module has a specific function and can be developed, maintained, and updated independently, reducing overall system complexity while enabling high review efficiency through parallel processing.
4Measurement precision
If BERT model and distributed framework are used for automatic detection, then review accuracy improves, but computational resources required increase
Solution Approach 1:
The patent segments the computational workload across three separate modules (format analysis, text processing, layout detection) that can operate independently and in parallel. This segmentation allows the system to utilize distributed computing resources efficiently, allocating computational power to each module based on its specific requirements while maintaining high detection accuracy through specialized processing in each segment.
Data Source
AI summary
The application belongs to the field of big data, and particularly relates to an official document processing method, device, computer equipment and storage medium. The method includes the following steps of: performing format analysis on the to-be-reviewed official document, then acquiring the to-be-reviewed official document of standard file type, and identifying all file components and contents in the to-be-reviewed official document of standard file type; performing text format detection, text content detection and frame layout detection synchronously by a preset text processing model, obtaining a format detection result, a content detection result and a layout detection result; generating a detected error content according to the format detection result, content detection result and layout detection result, calling out a standard writing rule corresponding to the detected error content, marking the detected error content and the standard writing rule in the to-be-reviewed official document.