Multi-level tree document generation system
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current information management systems are inefficient for generating documents like budgets and contracts, as they require manual processing and lack real-time content generation and professional terminology conversion.
Innovation Solution
A multi-level tree-based system with non-transitory storage and processors that allow users to input settings and selections to generate documents in real-time, converting plain language to professional terminology, using historical or big data analysis to improve content completeness and formatting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual document processing is used, then document generation can be completed, but efficiency is low and time-consuming
Solution Approach 1:
The system pre-establishes a multi-level tree structure with template documents, intermediate descriptions, and leaf descriptions organized hierarchically. This preliminary organization allows rapid document generation by simply traversing the pre-built structure and filling in parameters, eliminating manual document creation steps.
Solution Approach 2:
The system uses template documents as reusable copies that can be instantiated multiple times. By copying the structured template framework and automatically populating it with content from the multi-level tree, the system rapidly generates new documents without manual recreation of the entire document structure each time.
2Reliability
If simple text generation is used, then document creation is straightforward, but content completeness and professional terminology are lacking
Solution Approach 1:
The system segments document content into a multi-level hierarchy: template documents at the top level, intermediate descriptions with subjects and blanks at middle levels, and leaf descriptions with specific content at the bottom level. This segmentation allows comprehensive content coverage while maintaining organized structure, ensuring completeness without overwhelming complexity.
Solution Approach 2:
The system adds a hierarchical dimension to document structure by organizing content across multiple levels (template → intermediate → leaf). This dimensional organization enables the system to manage complex, complete content through a structured framework rather than requiring complex processing logic, resolving the contradiction between completeness and complexity.
3Manufacturing precision
If plain language is used, then document writing is easy, but professional terminology conversion is not achieved
Solution Approach 1:
The system introduces an intermediary layer (the multi-level tree structure with intermediate descriptions) between plain language input and final professional terminology output. This intermediary structure contains both plain language versions and professional terminology versions, allowing automatic conversion while maintaining ease of use through the structured framework.
Solution Approach 2:
The system implements parameter changes by storing multiple versions (plain language and professional terminology) as alternative parameters for each description node. Users can select the desired language style, and the system automatically generates the appropriate version, achieving terminology precision without sacrificing ease of operation.
4Speed
If real-time generation is implemented, then document speed improves, but system complexity increases
Solution Approach 1:
The system performs preliminary organization by pre-building the multi-level tree structure with all template documents, intermediate descriptions, and leaf descriptions in place. This advance preparation enables real-time document generation through simple traversal and parameter substitution, achieving high speed without complex runtime processing.
Solution Approach 2:
The system implements dynamic document generation by enabling users to input settings and selections that automatically traverse the multi-level tree and generate documents in real-time. The dynamic interaction between user inputs and the pre-structured tree framework achieves rapid generation without requiring complex system architecture.
Data Source
AI summary
The present disclosure relates to systems and methods for generating a document based on a template document. The system may perform the methods to crawl across a multi-level tree along a path from a root to a plurality of leaf nodes. The multi-level tree may include a plurality of intermediate level nodes, wherein each of the plurality of intermediate level nodes may be associated with one or more sub-nodes at a next level. Each of the plurality of intermediate level nodes may include an intermediate subject of the intermediate level node, a semantically incomplete intermediate description related to the intermediate subject, and template data defining a position that the intermediate description may be in a corresponding template document.