Question Answer Data Editing Device for Contextual Indexing

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Solution Overview

Problem

Existing question and answer data editing systems fail to effectively capture expression variations and contexts of customer inquiries, leading to difficulties in indexing and linking relevant data, and lack efficient methods for extracting relationships between multiple question and answer data.

Innovation Solution

A question and answer data editing device that detects similar dialogue content, extracts expression patterns and variations, and correlates them with existing data to generate index information, allowing for improved indexing and linking of question and answer data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional question and answer data editing systems are used, then data structure is simple, but the ability to capture expression variations and contexts of customer inquiries is insufficient

Engineering Contradiction:

Improveability to capture expression variations and contextsVSAvoiddata structure complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments question and answer data into multiple hierarchical levels including basic Q&A pairs, expression variations, contexts, and relationships. This segmentation allows the system to capture diverse expression patterns and contextual information while maintaining organized data structures that can be managed efficiently.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent adds new dimensions to the data structure by incorporating expression variations, contexts, and relationships as separate hierarchical layers. This dimensional expansion enables the system to capture nuanced customer inquiries without overwhelming the base data structure, allowing for versatile search and retrieval across multiple attributes.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Quantity of substance

If comprehensive question and answer data is collected, then data coverage is improved, but indexing and linking efficiency deteriorates

Engineering Contradiction:

Improvedata coverageVSAvoidindexing and linking efficiency

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The patent performs preliminary indexing and categorization during the data collection phase by automatically extracting expression patterns, contexts, and relationships. This preliminary action organizes comprehensive data into structured formats with pre-computed indices, enabling efficient retrieval and linking operations later without processing overhead during queries.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces intermediate indexing structures that mediate between comprehensive data storage and efficient retrieval. These intermediate indices act as mediators, organizing large volumes of Q&A data, expression variations, and contextual information into accessible formats that maintain both data coverage and retrieval efficiency.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If manual editing of question and answer data is performed, then data accuracy is maintained, but editing time and labor increase

Engineering Contradiction:

Improvedata accuracyVSAvoidediting time and labor

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements self-service automation where the system automatically extracts expression patterns, identifies contexts, detects relationships, and generates indexed structures from raw customer inquiry data. This self-service capability maintains data accuracy through automated validation while dramatically reducing the time and labor required compared to manual editing processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical editing processes with automated computational methods including pattern recognition, natural language processing, and machine learning algorithms. These automated systems maintain data accuracy through consistent application of extraction rules while eliminating the time-consuming nature of manual data curation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Measurement precision

If detailed expression patterns and contexts are extracted, then search functionality is enhanced, but data processing complexity increases

Engineering Contradiction:

Improvesearch functionality accuracyVSAvoiddata processing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the data processing task into distinct modules: expression pattern extraction, context identification, relationship detection, and index generation. Each module handles a specific aspect of processing, which reduces overall complexity by breaking down the sophisticated search enhancement task into manageable, specialized components that can be processed independently and efficiently.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8983962B2Question and answer data editing device, question and answer data editing method and question answer data editing program

Publication Date: 2015.03.17 NEC CORP

AI summary

The question and answer data editing device for editing dialog content to generate question and answer data, includes a detecting unit that detects a part of the dialog content similar to existing question and answer data stored, and a extracting unit that extracts a context in which the dialog content is made from dialog content in the proximity of the similar part detected and registers the context extracted as new question and answer data or as index information of the question and answer data.