Narrative Story Generator Configuration Platform
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Solution Overview
Problem
Existing methods for automatically generating narratives from data lack the ability to effectively configure platforms to produce relevant narratives tailored to specific audiences, and fail to provide efficient mechanisms for users to ingest, organize, and process data for this purpose.
Innovation Solution
A configurable platform and interface that allows users to specify necessary configuration elements such as models, derivations, angles, content blocks, and linguistic structures, with a graphical user interface that supports iterative refinement and immediate feedback, enabling the generation of appropriate narratives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a configurable platform is implemented to allow users to specify configuration elements (models, derivations, angles, content blocks, linguistic structures), then the ability to generate narratives relevant to specific audiences is improved, but the device complexity increases
Solution Approach 1:
The configuration platform is segmented into distinct modular components: data models, derivations, angles, content blocks, and linguistic structures. Each component can be independently configured and combined, allowing users to build customized narrative generation systems without overwhelming complexity. The segmentation enables targeted configuration of only the necessary elements for each specific narrative task.
Solution Approach 2:
The patent introduces an intermediary configuration layer between raw data and narrative generation. This intermediate configuration platform translates user-friendly specifications into the complex parameters required by the narrative generation system, shielding users from underlying complexity while maintaining adaptability. The configuration elements act as intermediaries that bridge user intent and system execution.
2Reliability
If users are provided with comprehensive configuration capabilities including models, derivations, angles, and linguistic structures, then the quality and relevance of generated narratives is improved, but the ease of operation decreases
Solution Approach 1:
The system provides pre-configured templates and default settings for common narrative generation scenarios. Users can start with pre-established models, derivations, and linguistic structures that have been optimized for specific purposes, then make incremental adjustments rather than building from scratch. This preliminary preparation significantly reduces the operational burden while maintaining high narrative quality.
Solution Approach 2:
The configuration platform incorporates feedback mechanisms that allow users to evaluate generated narratives and iteratively refine their configurations. The system provides feedback on configuration effectiveness, enabling users to adjust models, derivations, or linguistic structures based on actual performance. This feedback loop improves ease of operation by guiding users toward optimal configurations without requiring deep expertise.
3Productivity
If the system includes mechanisms for iterative refinement and immediate feedback, then the productivity of configuration development is improved, but the device complexity increases
Solution Approach 1:
The system enables continuous iteration through automated feedback loops that immediately evaluate configuration changes and generate test narratives. Users can continuously refine their configurations without interruption, with the system maintaining state and allowing rapid successive modifications. This continuity eliminates the need to restart configuration processes and dramatically accelerates development productivity.
Solution Approach 2:
The configuration platform allows users to create and manage multiple configuration versions through copying and duplication. Users can replicate successful configurations, create variations by modifying copies, and compare different versions side-by-side. This copying capability enables efficient experimentation and iteration without losing proven configurations, improving productivity while keeping the interface simple.
Data Source
AI summary
The exemplary embodiments describe, inter alia, an apparatus comprising: a processor configured to (1) generate a plurality of graphical user interfaces (GUIs) for interaction with a user to support configuration of a narrative story generator to automatically generate a narrative story based on input data, wherein at least one of the GUIs presents content blocks comprising a story outline in a hierarchical structure, (2) evaluate configuration elements of the narrative story generated using imported sample data, and (3) generate narrative stories based on the configuration of the narrative story generator and the input data.


