Entity Action Matrix for Manuscript Compliance Review
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing content review processes for mobile computing devices, such as electronic books, are time-consuming and resource-intensive, particularly when evaluating manuscripts for compliance with framework rules and entity usage in self-publishing models.
Innovation Solution
The implementation of an entity/action relationship matrix generated through natural language analysis, which identifies entities and actions in a manuscript and applies framework rules to determine compliance, automating the review process by analyzing entities within a framework and flagging non-compliant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review processes are used to evaluate manuscripts for compliance with framework rules, then review accuracy and judgment can be maintained, but time consumption and resource requirements increase significantly
Solution Approach 1:
The patent replaces manual mechanical review processes with an automated computational system that uses natural language processing and entity recognition algorithms to evaluate manuscript compliance, thereby reducing time consumption while maintaining review accuracy through systematic algorithmic analysis
Solution Approach 2:
The system enables self-service review by automatically analyzing manuscripts against framework rules without requiring human intervention for each evaluation step, allowing the content to be reviewed and assessed autonomously through computational methods
2Reliability
If comprehensive manual review of all manuscript content is performed, then completeness of evaluation is improved, but resource requirements and processing time increase
Solution Approach 1:
The patent segments the manuscript review process into distinct analytical components including entity recognition, action identification, and rule compliance checking, allowing each component to be processed independently and efficiently while maintaining comprehensive evaluation coverage
Solution Approach 2:
Manual comprehensive review is replaced with automated computational analysis that systematically processes entire manuscripts through natural language processing, achieving complete evaluation without the resource intensity of manual processing
3Productivity
If automated review systems are implemented to reduce time and resources, then processing efficiency improves, but system complexity and development requirements increase
Solution Approach 1:
The patent implements a multi-functional review system that can evaluate various types of content against different framework rules using a unified computational approach, reducing overall system complexity by combining multiple review functions into a single integrated platform
Data Source
AI summary
Techniques are described for analyzing a submitted manuscript through the use of an entity/action relationship matrix determined for the manuscript. The entity/action relationship matrix may describe one or more entities, such as characters, locations, objects and so forth, which are identified in the manuscript using a natural language analysis such as a part-of-speech analysis. The entity/action relationship matrix may also describe actions or events associated with each of the entities, as determined using the natural language analysis. The entity/action relationship matrix may be employed to determine whether the manuscript complies with rules constraining the use of entities in the manuscript.