Abbreviated Name Conversion Apparatus Using Segmented Extraction
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Solution Overview
Problem
Existing information processing systems face difficulties in accurately associating and converting between abbreviated names and formal names, especially in diverse information groups like emails, documents, and conversation histories, due to the complexity of determining consistent conversion rules across various contexts.
Innovation Solution
An information processing apparatus is designed with modules to acquire, specify, extract, and associate abbreviated names with their corresponding formal names using specific expression recognition techniques, storing and recording these pairs for conversion purposes, and utilizing a system configuration that includes a document database, acquisition modules, and association modules to handle different types of information groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing information processing systems attempt to convert between abbreviated names and formal names across diverse information groups, then conversion capability is provided, but accuracy deteriorates due to complexity in determining consistent conversion rules across various contexts
Solution Approach 1:
The system segments the conversion process into distinct functional modules: an acquisition unit that collects information groups, a specification unit that identifies positions of abbreviated names, extraction units that separate abbreviated and formal names, and an association unit that links them. This segmentation allows each module to handle specific tasks with focused accuracy, resolving the contradiction between versatility and precision.
Solution Approach 2:
The system introduces an intermediary association table that stores the correspondence between abbreviated names and formal names. This intermediary structure acts as a mediator that preserves conversion accuracy by maintaining explicit mappings, while still enabling versatile conversion across different information group types through standardized access patterns.
2Adaptability or versatility
If the system handles diverse information groups (emails, documents, conversation histories), then versatility improves, but system complexity increases due to need to handle various contexts and formats
Solution Approach 1:
The system implements universal processing modules that can handle multiple information group types (emails, documents, conversation histories) through a common framework. The acquisition unit, specification unit, and extraction units are designed to work across different data formats and contexts, providing multi-functionality that improves versatility without proportionally increasing complexity.
Solution Approach 2:
The system adapts to diverse information groups by changing processing parameters rather than structural complexity. The specification unit adjusts its behavior based on the type of information group being processed, modifying extraction rules and position identification strategies dynamically. This parameter-based adaptation allows the system to handle various contexts while maintaining a relatively simple unified architecture.
Data Source
AI summary
An information processing apparatus includes an acquisition unit that acquires an information group in which an abbreviated name is used, a specification unit that specifies a position where the abbreviated name is used in the information group from a type of information group acquired, a first extraction unit that extracts the abbreviated name from the specified position, a second extraction unit that extracts a formal name on the basis of a character related to the information group, and an association unit that associates the abbreviated name and the formal name with each other.