Natural Language Document Orchestrator for Selective Pipeline Execution
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Solution Overview
Problem
Existing natural language generation systems require full processing through a pipeline for text generation, which is inefficient when input data is already partially processed or only requires minor adjustments, leading to unnecessary steps and resource utilization.
Innovation Solution
A document orchestrator that allows developers to write scripts to invoke NLG services at different levels, enabling selective use of pipeline modules based on input requirements, such as document planning, microplanning, or morphology processing, to generate natural language text efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full processing through a pipeline is used for text generation, then text generation reliability is ensured, but processing time and resource usage increase unnecessarily when input data is already partially processed
Solution Approach 1:
The patent segments the NLG pipeline into independent, modular components (document planning module, microplanning module, morphology processing module, etc.) that can be selectively invoked. Each module is a self-contained unit with defined input and output interfaces, allowing the system to process data through only the necessary modules rather than forcing full pipeline execution. This segmentation enables the system to maintain reliability by ensuring each module meets quality standards while reducing processing time by skipping already-processed stages.
Solution Approach 2:
The patent implements dynamic pipeline configuration where the processing path is determined at runtime based on the input data characteristics and processing requirements. The system can adaptively select which pipeline modules to invoke, transitioning from a static full-pipeline approach to a dynamic selective-execution approach. This allows the system to optimize processing efficiency for different input scenarios while maintaining the capability to execute complete processing when needed for reliability.
2Reliability
If full processing through a pipeline is used for text generation, then processing completeness is ensured, but resource utilization increases unnecessarily when input data is already partially processed
Solution Approach 1:
By dividing the NLG system into discrete, independently invokable modules, the patent enables selective execution of only those processing stages required for the given input data. This prevents unnecessary resource consumption on already-processed data while maintaining processing completeness through appropriate module selection. Each segment can be executed independently, ensuring that essential processing steps are completed without wasting resources on redundant operations.
Solution Approach 2:
The patent changes the operational parameters of the processing system by introducing configurable invocation flags and processing state indicators that determine which pipeline modules are activated. These parameter changes allow the system to adjust resource allocation dynamically based on input data characteristics, ensuring processing completeness is achieved with minimal necessary resource utilization rather than always executing at full capacity.
3Productivity
If selective use of pipeline modules is enabled, then processing efficiency improves, but system complexity increases due to module coordination requirements
Solution Approach 1:
The patent creates a universal document orchestrator component that handles the coordination of all pipeline modules through a standardized interface. This orchestrator provides multi-functional capabilities including module selection, parameter passing, result aggregation, and error handling, thereby reducing the complexity that would otherwise be distributed across multiple coordination points. By centralizing these control functions in a single universal component, the system achieves selective module execution while managing complexity through interface standardization.
4Adaptability or versatility
If developers can invoke NLG services at different levels, then flexibility and adaptability improve, but ease of operation decreases due to increased control complexity
Solution Approach 1:
The patent introduces a document orchestrator as an intermediary layer between the user and the underlying NLG pipeline modules. This orchestrator provides a simplified, high-level interface that abstracts the complexity of individual module invocation while maintaining the ability to selectively execute modules at different processing levels. Users interact with the orchestrator rather than directly managing module calls, which preserves system flexibility and adaptability while improving ease of operation through interface abstraction.
Data Source
AI summary
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language document orchestrator. In some example embodiments, a method is provided that comprises generating natural language text. The method of this embodiment may also include executing document orchestration requests from a scripted input language file.