QA System Document Correction via Contradiction Evaluation
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Solution Overview
Problem
Current knowledge management systems, such as IBM Watson, face challenges in updating evidence quality ratings and incorporating corrections into ingested documents, leading to static and coarse-grained quality assessments that do not adapt to errors or corrections in evidence sources.
Innovation Solution
A method is introduced to identify and apply corrections to ingested documents within the QA system by evaluating statements against contradictory statements from correction sources, such as published documents or forum posts, and replacing incorrect statements with correct ones based on evaluation results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If corrections are applied to ingested documents by evaluating statements against contradictory statements from correction sources, then the accuracy and reliability of the QA system is improved, but the system complexity and processing time increase
Solution Approach 1:
The correction process is segmented into distinct components: statement extraction from documents, contradiction identification against correction sources, evaluation of contradictory statements, and selective application of corrections. This modular approach manages system complexity by breaking down the overall correction task into manageable, independent modules that can be processed separately.
Solution Approach 2:
The system performs preliminary evaluation of contradictory statements before applying corrections to the ingested documents. By pre-evaluating the validity and reliability of correction sources and their contradictory statements, the system ensures that only accurate corrections are applied, thereby improving reliability while maintaining controlled processing complexity.
2Reliability
If corrections are applied to ingested documents by evaluating statements against contradictory statements from correction sources, then the reliability of the QA system is improved, but the processing time increases
Solution Approach 1:
The system applies corrections selectively rather than universally to all ingested documents. Corrections are applied only when contradictory statements from correction sources are evaluated as more accurate, avoiding unnecessary processing time for documents that do not require correction while still improving overall system reliability through targeted updates.
Solution Approach 2:
The manual or mechanical process of verifying and updating document accuracy is replaced with an automated electronic system that uses algorithms to identify contradictions, evaluate their validity, and apply corrections automatically. This substitution significantly reduces processing time compared to manual verification while maintaining high reliability standards.
3Adaptability or versatility
If evidence quality ratings are updated dynamically based on corrections from external sources, then the adaptability of the QA system is improved, but the system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where corrections from external sources are continuously evaluated and used to update evidence quality ratings dynamically. This feedback loop enables the QA system to adapt to new information and corrections automatically, improving adaptability while the modular architecture manages the associated complexity through structured feedback processing.
Solution Approach 2:
Evidence quality ratings are transformed from static values to dynamic parameters that automatically adjust based on incoming corrections and contradictory statements. This dynamic approach allows the system to adapt continuously to new information, with the complexity managed through automated evaluation algorithms that process updates in real-time without requiring manual reconfiguration.
Data Source
AI summary
An approach is provided to correct documents ingested by a question answering (QA) system. A document previously ingested by the QA system is selected. A correction to the selected document is identified from one or more correction sources and the correction is applied to the selected document within the QA system. In one embodiment, the correction source is a non-ingested document, such as a published document or an issued correction. In another embodiment, the correction source is a post in a forum. In this embodiment, a statement in the ingested document is compared with a contradictory statement found in an ingested post of a threaded discussion. The statement and the contradictory statement are evaluated by the QA system. The statement in the ingested document is replaced with the contradictory statement in response to the evaluation revealing that the contradictory statement is correct and that the statement is incorrect.