Information Processing Apparatus for High-Accuracy Document Checking
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Solution Overview
Problem
Existing document preparation and checking techniques lack accuracy, as seen in Patent Literature 1, which fails to provide reliable assistance in tasks such as evaluation, analysis, and checking processes.
Innovation Solution
An information processing apparatus and method that acquires instruction content and reference information, generates a prompt based on this content and information, and then uses a language model to produce a generation sentence, enhancing accuracy by incorporating industry-type-specific models for specific work categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a neural network is used for document checking as disclosed in Patent Literature 1, then automation is achieved, but accuracy is insufficient
Solution Approach 1:
The system segments the document checking process into multiple stages: extracting checking targets from documents, generating checking questions based on extracted information, and evaluating answers to these questions. This multi-stage segmentation allows each component to specialize in specific tasks, improving overall accuracy while maintaining automation.
Solution Approach 2:
The system introduces intermediate elements including checking targets extracted from documents, checking questions generated from these targets, and answer evaluations. These intermediaries bridge the gap between raw document content and final checking results, enabling more accurate and nuanced document verification through multiple processing layers.
2Adaptability or versatility
If general-purpose AI models are used for work assistance, then versatility is improved, but accuracy in specific domains deteriorates
Solution Approach 1:
The system applies local quality by extracting specific checking targets from documents and generating domain-specific checking questions tailored to each document type and context. Instead of applying a uniform approach, the system adapts its checking criteria and questions to the specific characteristics of each document, improving accuracy in specific domains while maintaining overall versatility.
Solution Approach 2:
The system dynamically generates checking questions and evaluation criteria based on the extracted checking targets and document content. Rather than using static, pre-defined checking rules, the system adapts its checking approach in real-time based on the specific document being analyzed, enabling both versatility across different document types and accuracy in domain-specific contexts.
Data Source
AI summary
Provided is a work assistance technique having high accuracy. An information processing apparatus includes: a first acquisition means for acquiring instruction content and reference information which is to be referred to in a process indicated by the instruction content; a generation means for generating a prompt with reference to the instruction content and the reference information; and a second acquisition means for acquiring a generation sentence which has been generated based on the prompt.