Sequential Document Extraction with Country-Specific Validation
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Solution Overview
Problem
Current document information extraction systems are prone to errors due to the parallel execution of extraction, parsing, matching, and validating operations, which prevents knowledge gained in one operation from being reused in others, leading to inaccuracies in information extraction, especially when dealing with documents from various vendors using different formats and currencies.
Innovation Solution
An automated process that performs extraction, parsing, and validating operations sequentially, allowing knowledge gained in previous steps to improve the accuracy of subsequent operations, particularly by determining the country of origin to accurately handle country-specific dependencies such as date formats, currencies, and taxes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If extraction, parsing, matching and validating operations are performed in parallel, then processing speed is improved, but accuracy of information extraction deteriorates due to inability to reuse knowledge across operations
Solution Approach 1:
The patent segments the document processing into distinct sequential steps: extraction step, parsing step, matching step, and validation step. Each step operates independently in sequence, allowing knowledge to be passed from one step to the next. This segmentation resolves the contradiction by maintaining high accuracy through sequential processing while managing complexity through clear step separation.
Solution Approach 2:
The patent applies preliminary action by performing extraction and parsing operations before matching and validation. The extraction step identifies potential information elements, parsing converts them to standardized formats, and only then are they matched against master data and validated. This preliminary processing ensures that subsequent steps work with refined, structured data, improving overall accuracy.
2Loss of time
If parallel processing is used, then time efficiency is improved, but reliability of extraction results deteriorates due to lack of knowledge reuse between operations
Solution Approach 1:
The patent implements feedback mechanisms where each processing step uses results from previous steps to inform subsequent operations. The parsing step receives extracted data and applies country-specific formatting rules, the matching step uses parsed data to compare against master data, and validation uses matched results to verify accuracy. This feedback loop ensures reliability while managing time through efficient sequential processing.
Solution Approach 2:
The patent introduces dynamic adaptability by detecting country-specific dependencies and automatically adjusting processing parameters based on the detected country. The system dynamically selects appropriate date formats, currency formats, and validation rules based on the document's country of origin, ensuring reliable processing across different international formats without requiring manual configuration.
3Device complexity
If country-specific dependencies are not considered, then processing simplicity is maintained, but manufacturing precision of extracted information deteriorates due to format variations
Solution Approach 1:
The patent changes processing parameters dynamically based on the detected country. When a document is identified as originating from a specific country, the system adjusts parameters such as date format expectations, currency symbols, tax rate structures, and validation rules to match that country's conventions. This parameter adaptation ensures high precision in extracting information from diverse international formats while maintaining a unified processing framework.
Solution Approach 2:
The patent applies local quality by tailoring the processing approach to the specific characteristics of each document's origin country. Instead of applying a single uniform processing method to all documents, the system adapts its behavior to match local conventions and requirements. This ensures that each document is processed with the appropriate level of detail and format-specific knowledge, improving extraction precision without significantly increasing overall system complexity.
Data Source
AI summary
Briefly, embodiments of a system, method, and article for receiving a document from a remote device and identifying items in the document. Various operations may be performed based on one or more dependencies of the identified items. For example, additional items may be identified in the document. One or more of the identified items may be parsed. A correspondence between the identified items and a second set of items may be determined. The identified items may be validated based on a set of rules. One or more of the identified items may be transmitted to the remote device in response to the performance of the various operations.