Document Content Extraction With Real-Time Processing Status
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Solution Overview
Problem
The rapid increase in network resources on the Internet makes it difficult for users to efficiently extract key content from massive information, particularly in documents with complex presentation formats, necessitating urgent and efficient content extraction methods.
Innovation Solution
A content extraction method and apparatus utilizing natural language processing and machine learning technologies, including a large language model, to generate document digests and support multiple rounds of question-answering, with real-time progress tracking through a status area to manage user expectations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content extraction is performed on documents with complex presentation formats, then information extraction efficiency is improved, but processing time increases
Solution Approach 1:
The content extraction process is divided into multiple processing stages including text slicing, feature extraction, and digest generation. Each stage processes specific aspects of the document independently, allowing parallel computation and reducing overall processing time while maintaining extraction efficiency for complex formats.
Solution Approach 2:
The system performs preliminary text slicing and preprocessing before main content extraction. By preparing the document structure in advance through slicing into manageable segments, the subsequent extraction process becomes faster and more efficient, especially for complex presentation formats.
2Loss of information
If detailed processing information is displayed during content extraction, then user awareness of processing status is improved, but interface complexity increases
Solution Approach 1:
The processing information is segmented into distinct processing stages (text slicing, feature extraction, digest generation) and displayed sequentially in the status area. This segmentation allows users to understand the processing progress without being overwhelmed by all details simultaneously, reducing perceived interface complexity while maintaining information completeness.
Solution Approach 2:
The status area extracts and displays only the essential processing information needed by users, separating it from the main document content. This extraction of critical status updates provides user awareness without cluttering the main interface, effectively managing the balance between information provision and interface simplicity.
Data Source
AI summary
A content extraction method and apparatus including presenting a document selection interface based on an uploading operation in an information exchange interface, the document selection interface comprising at least one document, based on a selection operation on a first document of the at least one document, presenting, in the information exchange interface, the first document and processing information of the first document in a status area corresponding to the first document, the processing information indicating a current processing stage in a process of performing content extraction on the first document and a corresponding processing status, and after the content extraction on the first document is completed, removing display of the status area, and presenting, in the information exchange interface, a document digest obtained by performing content extraction on the first document.