Guidance Note Generation Using Summary and Augmentation Retrieval
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Solution Overview
Problem
Existing note generation methods fail to analyze and enhance the dialogue between guidance providers and recipients, resulting in notes with poor readability and practicality due to excessive information without substantive content.
Innovation Solution
Perform speech recognition on guidance process data, extract a guidance summary, and retrieve augmentation information to generate a note that includes key points and additional context, improving readability and practicality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If dialogue is faithfully recorded without analysis processing, then complete information is preserved, but readability and practicality deteriorate due to excessive content without substantive value
Solution Approach 1:
The patent extracts substantive content from the complete dialogue by identifying and isolating key information points, guidance steps, and important decisions. The summarization module pulls out essential elements while discarding redundant conversational fillers, achieving both information preservation and readability improvement
Solution Approach 2:
The patent segments the continuous dialogue into discrete, meaningful units such as guidance steps, key decisions, and important information points. This segmentation allows the system to process and present information in structured, readable formats while maintaining the complete informational content through organized presentation
2Loss of information
If dialogue is faithfully recorded without analysis processing, then complete information is preserved, but practicality deteriorates due to lack of structured content for study
Solution Approach 1:
The patent extracts actionable guidance content and structured knowledge from the dialogue, separating substantive learning material from conversational elements. This enables the notes to be practically useful for study and reference while preserving the complete informational content through systematic extraction of key elements
Solution Approach 2:
The patent transforms the dialogue from a continuous conversational format into structured note formats with specific parameters such as guidance steps, key points, and organized sections. This parameter transformation enhances practicality for study and application while maintaining information completeness through structured preservation
3Loss of information
If speech recognition is performed on all dialogue data, then complete transcription is achieved, but processing time and resource consumption increase
Solution Approach 1:
The patent performs preliminary speech recognition on the entire dialogue to obtain complete transcription, then subsequently applies analysis and summarization processes. This preliminary action ensures no information is lost during initial transcription, while the structured processing that follows optimizes the output for readability and practicality
Solution Approach 2:
The patent segments the speech recognition and processing workflow into distinct stages: initial complete transcription, followed by analysis, summarization, and structured note generation. This segmentation allows complete transcription to be achieved without overwhelming processing time, as the work is distributed across multiple optimized stages
Data Source
AI summary
Embodiments of the present specification provide a note generation method and apparatus and a computer device. The note generation method includes performing speech recognition on data of a guidance process and obtaining text data; extracting a guidance summary according to the text data; retrieving augmentation information associated with the guidance summary; and generating a note of the guidance process according to the augmentation information and the guidance summary. The embodiments of the present specification can improve the readability and practicability of the generated note.