Narrative Text Editor with Dynamic Template Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Content generation in narrative language is costly and inefficient, requiring significant human interaction, and existing automated systems lack flexibility and variation in transforming data into narrative text.
Innovation Solution
A system that uses a narrative text editor and generator to upload data from various sources, apply logical structures and conditions to generate flexible and varied narrative text, with quality assurance to ensure accuracy and tone consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated narrative text generation systems are used, then productivity and cost efficiency are improved, but the flexibility and variation in text output are reduced
Solution Approach 1:
The system dynamically adjusts generation parameters and selects from multiple template variations based on input data characteristics, enabling the automated system to produce flexible and varied narrative text while maintaining high productivity
Solution Approach 2:
The system changes multiple parameters including text style, narrative angle, and structural templates to generate diverse output variations from the same input data, resolving the contradiction between automation and text flexibility
2Reliability
If human interaction is increased to improve narrative text quality, then text quality and tone consistency are improved, but cost and time consumption increase
Solution Approach 1:
The system incorporates feedback mechanisms where generated text is evaluated against quality criteria and tone guidelines, with automatic adjustments made to maintain consistency without requiring extensive human review
Solution Approach 2:
The narrative generation system performs self-correction and quality assurance through embedded validation rules and tone consistency checks, reducing the need for human intervention while maintaining high text quality
Data Source
AI summary
The present invention is a system and method for generating narrative text utilizing data input from one or more data sources to drive the creation of a narrative text output. Narrative text is generated in accordance with sets of data that provide the scope of text to be generated. A narrative text editor permits automatic generation of narrative text automatically using pre-defined scope for the generated text, or under the guidance of scope input by a user. Generated text retains links to the origin structure and scope used in creation of the narrative text permitting quick troubleshooting of issues in the narrative text generation and rapid review and updating under the guidance of established rule sets or system users.