Automated Narrative Generation Triggering System
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Solution Overview
Problem
Existing methods for automatically generating narrative stories from data lack efficient criteria for determining when and how to generate stories, leading to unnecessary or irrelevant content.
Innovation Solution
A system that evaluates data against a set of story angles and applicability conditions to determine whether a narrative story should be generated, using a processor to access an angle set data structure, process the data, and generate an evaluation indicator to decide on story generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated narrative generation is performed without evaluation criteria, then story generation speed is improved, but content relevance deteriorates
Solution Approach 1:
The system performs preliminary evaluation by processing data against multiple story angles and applicability conditions before actually generating the narrative. This advance assessment ensures that only relevant stories are generated, maintaining content relevance while enabling efficient automated production.
Solution Approach 2:
The evaluation indicator serves as an intermediary between raw data and narrative generation. It acts as a gatekeeper that determines whether data should be transformed into a story, ensuring that only relevant content proceeds to the generation phase while maintaining high productivity.
2Manufacturing precision
If multiple story angles and applicability conditions are evaluated, then content relevance is improved, but system complexity increases
Solution Approach 1:
The evaluation system is segmented into distinct components: multiple story angles (e.g., victory, defeat, comeback) and separate applicability conditions for each angle. This segmentation allows the complex evaluation process to be broken down into manageable, independent checks that can be processed efficiently.
Solution Approach 2:
The system changes parameters by evaluating data against multiple story angles and their associated applicability conditions. By systematically varying which angles and conditions are checked, the system achieves high content relevance without requiring a monolithic complex structure.
3Manufacturing precision
If evaluation indicators are generated before story creation, then content quality is improved, but processing time increases
Solution Approach 1:
The evaluation indicator is generated as a preliminary action before narrative creation. This advance evaluation ensures high content quality by identifying relevant stories beforehand, while the modular design keeps the time penalty acceptable by avoiding redundant processing during the actual generation phase.
Data Source
AI summary
Artificial intelligence methods and systems for triggering the generation of narratives are disclosed. Specific embodiments relate to real-time evaluation and automated generation of narrative stories based on received data. For example, data can be tested against data representative of a plurality of story angles to determine whether a narrative story incorporating one or more such story angles is to be automatically generated.