Automated Reference Citation Verification in Technical Documents
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Solution Overview
Problem
The manual review of technical documents, particularly for reference citations, is time-consuming and prone to errors, leading to costly delays and potential regulatory issues due to the complexity and length of these documents.
Innovation Solution
A computer-implemented method that identifies and prioritizes reference citations within technical documents by querying datastores for matches and providing visual feedback on error review prioritization status, transforming citations into hyperlinks, and displaying metadata to assist human reviewers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review of technical documents is performed, then review accuracy may be maintained, but review time and cost increase significantly
Solution Approach 1:
The patent introduces an automated reference citation verification system that acts as an intermediary between the technical document and human reviewers. The system queries datastores to verify reference citations, generates visual feedback indicating error review prioritization status, and transforms citations into hyperlinks. This intermediary automated system handles the initial verification workload, allowing human reviewers to focus on complex cases while maintaining high accuracy and significantly reducing review time.
2Productivity
If automated reference citation verification is implemented, then review time is reduced, but system complexity increases
Solution Approach 1:
The patent segments the reference citation verification process into distinct functional modules: (1) identifying reference citations in the technical document, (2) querying datastores to verify citations, (3) determining error review prioritization status, and (4) providing visual feedback. This segmentation allows each module to be independently developed, maintained, and optimized, reducing overall system complexity while maintaining high productivity.
Solution Approach 2:
The system implements feedback mechanisms by providing visual feedback that indicates the error review prioritization status of reference citations. This feedback loop allows the system to adaptively prioritize review tasks based on verification results, improving efficiency without requiring complex manual intervention. The feedback also guides human reviewers to focus on high-priority items, simplifying the overall review process.
3Measurement precision
If comprehensive reference citation verification is performed, then error detection accuracy improves, but computational resources consumed increase
Solution Approach 1:
The patent applies partial action by implementing error review prioritization that focuses computational resources on reference citations with higher error risk. The system determines prioritization status based on verification results and directs intensive verification efforts to high-priority citations while using lighter verification for low-priority ones. This approach maintains high error detection accuracy for critical items while reducing overall computational resource consumption.
Data Source
AI summary
A computing system may identify a first reference citation within a technical document, wherein the first reference citation is identified based at least in part a length of a first block of text that is included in the first reference citation and an inclusion of at least one numeric character in the first block of text. The computing system may determine, based on querying at least one datastore, whether the first reference citation matches a matching stored reference citation. The computing system may determine, based at least in part on whether the first reference citation matches the matching stored reference citation, an error review prioritization status for the first reference citation. The error review prioritization status may also be determined based, in part, on a specified revision number for the first reference citation. The computing system may provide visual feedback indicating the error review prioritization status.