Document Control Items for Section Break Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing document editing applications face challenges in rendering and distributing unstructured text documents lacking document control items, which complicates control of renderers and equipment like printing devices.
Innovation Solution
A system and method that analyze text documents, insert document control items to demark section breaks, and generate labels, using machine learning models to classify sections and control the rendering and distribution of documents, thereby facilitating efficient navigation and reduced user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If document control items are inserted into unstructured text documents, then rendering control and distribution are improved, but document complexity increases
Solution Approach 1:
The patent segments the text document into logical sections by inserting document control items at identified section breaks. This segmentation enables the renderer to process and display the document in manageable sections, improving rendering control while maintaining a relatively simple document structure through automated segmentation rather than manual formatting.
Solution Approach 2:
The patent introduces document control items as intermediary elements between the raw text content and the renderer. These control items act as mediators that carry instructions for the renderer without being part of the visible document content, thereby improving rendering control while adding minimal visual complexity to the document.
2Extent of automation
If machine learning models are used to classify sections and generate labels, then automation and processing efficiency are improved, but computational resources and time requirements increase
Solution Approach 1:
The patent applies machine learning models to perform preliminary classification of text sections before the actual rendering or distribution process. By pre-identifying section breaks and generating labels in advance, the system automates the analysis process and reduces the computational burden during subsequent rendering operations, especially on resource-constrained devices.
3Productivity
If documents are broken into logical sections with control items, then distribution efficiency and bandwidth usage are improved, but document processing complexity increases
Solution Approach 1:
The patent extracts essential document structure information by identifying and isolating section breaks, then represents this structure through compact document control items. This extraction allows the system to transmit only the necessary structural metadata during distribution, improving bandwidth efficiency while maintaining manageable processing complexity through automated extraction rather than manual parsing.
Data Source
AI summary
A system and method for generating a document control item is described. The system accesses a text document and extracts a portion of the text document. The portion comprises some but not all of the text document. The system sends the portion of the text document to a trained machine learning model and, in response, receives a classification of the portion as demarking a section break. The system modifies the text document by inserting a document control item into the text document at a location of each portion classified as demarking a section break. The system stores the modified document.