Defined Term Discrimination in Document Processing
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Solution Overview
Problem
Conventional document check apparatuses find it difficult to discriminate defined terms with specific meanings from arbitrary terms in documents and confirm their usage conditions effectively.
Innovation Solution
An information processing apparatus with functional units for acquiring document information, discriminating defined terms based on specific rules, confirming usage conditions, and generating output information to present confirmation results, utilizing morphological analysis and dictionary databases for accurate term identification and usage assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional document check apparatuses use general text analysis methods, then they can process arbitrary terms in documents, but they fail to accurately discriminate defined terms with specific meanings from arbitrary terms
Solution Approach 1:
The system segments the document analysis process into distinct functional modules: a defined term discrimination unit that identifies defined terms using morphological analysis, a usage condition confirmation unit that checks usage rules, and an output generation unit that presents results. This segmentation allows each module to specialize in specific tasks, improving term identification accuracy while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces an intermediary dictionary database that stores predefined terms and their meanings. This intermediary structure enables the system to accurately identify defined terms by comparing document terms against the dictionary, resolving the contradiction between identification accuracy and system complexity by providing a structured reference framework without requiring complex analysis algorithms.
2Reliability
If the system performs comprehensive usage condition checking for all terms, then usage consistency can be ensured, but processing time and computational resources increase significantly
Solution Approach 1:
The system performs preliminary action by pre-defining usage conditions and rules in the dictionary database before document analysis. During processing, the confirmation unit only needs to check whether document terms match their predefined usage conditions, rather than performing comprehensive analysis on all terms. This preliminary setup ensures usage consistency while significantly reducing processing time by avoiding redundant analysis.
3Loss of information
If the system provides detailed confirmation results for all defined terms, then comprehensive usage assessment is achieved, but the output information becomes complex and difficult to interpret
Solution Approach 1:
The output information generation unit extracts only the essential confirmation results from the comprehensive analysis, presenting defined terms that meet usage conditions in a clear, simplified format. This extraction approach maintains information completeness by identifying all relevant terms while improving interpretability by removing redundant details and presenting results in an easily understandable manner.
Data Source
AI summary
An information processing apparatus includes: an acquiring unit which acquires document information related to a document; a discriminating unit which discriminates a term included in the document as a defined term that is defined as a term with a specific meaning based on a first rule; a confirming unit which confirms a usage condition of the discriminated defined term in the document based on a second rule; and an output information generating unit which generates output information for outputting a confirmation result of the usage condition.