Natural Language Expression Variant Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for generating natural language expression variants are labor-intensive, time-consuming, and prone to errors, requiring manual preparation of sufficient variants for natural language processing applications.
Innovation Solution
A computer-implemented method that replaces a key entity in a source expression with a predetermined symbol, selects template structured expressions based on similarity, and generates variants by replacing the symbol with the key entity, enabling automated generation of natural language expression variants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual preparation of natural language expression variants is used, then accuracy and control over the variants can be maintained, but labor intensity and time consumption increase significantly
Solution Approach 1:
The patent uses template-based copying where pre-defined template expressions are replicated and instantiated with specific entities. This allows automated generation of multiple variant expressions by substituting entities in templates, significantly reducing manual preparation time while maintaining quality through structured replication patterns
Solution Approach 2:
The system performs preliminary action by pre-defining template expressions and entity relationships before actual variant generation. This preparation phase enables automated batch processing of multiple variants without requiring manual creation of each expression, thus reducing time consumption while preserving accuracy through pre-validated templates
2Reliability
If manual preparation of natural language expression variants is used, then quality control can be maintained, but productivity decreases
Solution Approach 1:
By copying and instantiating pre-defined templates with different entities, the system achieves high productivity through automated replication. The template framework ensures quality control is maintained because templates are pre-validated and provide structured patterns that guarantee grammatical correctness and semantic appropriateness
Solution Approach 2:
The template system provides multi-functionality where a single template can generate multiple variants by substituting different entities. This universal approach allows one template structure to serve multiple purposes, dramatically increasing productivity while maintaining quality through the standardized and reusable nature of the templates
3Productivity
If automated template-based generation is used, then productivity and efficiency improve, but complexity of the generation system increases
Solution Approach 1:
The system segments the complex task of natural language variant generation into separate modular components: template definition, entity recognition, template selection, and instance generation. This segmentation reduces overall system complexity by making each component independent and manageable, while still achieving high productivity through automated coordination of these modules
4Reliability
If manual variant preparation is used, then control over expression accuracy is maintained, but the number of available variants is limited
Solution Approach 1:
The template-based copying mechanism enables exponential expansion of variant quantity while maintaining accuracy. By replicating templates with different entity substitutions, the system can generate numerous variants from a small set of validated templates, overcoming the limitation of manual preparation where each variant must be individually created
Solution Approach 2:
Preliminary template definition and validation create a foundation that can be repeatedly instantiated. This preliminary action allows the system to generate large numbers of accurate variants by reusing and combining pre-validated template patterns, rather than requiring manual creation of each variant from scratch
Data Source
AI summary
Embodiments of the present disclosure relate to generation of natural language expression variants. In an embodiment, a computer-implemented method is disclosed. According to the method, a structured expression is determined for a source expression in a natural language by replacing a source key entity in the source expression with a predetermined symbol. At least one template structured expression is selected from a set of template structured expressions based on respective similarities between the structured expression and respective template structured expressions in the set. Each of the set of template structured expressions comprises the predetermined symbol to represent a key entity. At least one variant expression is generated for the source expression by replacing the predetermined symbol in the at least one selected template structured expression with the source key entity. In other embodiments, a system and a computer program product are disclosed.