Contextual Information System for Dynamic Document Updates
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Solution Overview
Problem
Existing methods for providing contextual information in documents are inefficient, as they require manual creation of static references and footnotes, which are time-consuming, prone to errors, and do not dynamically adapt to changing information.
Innovation Solution
A computer-implemented method that automatically identifies key/value pairs in documents, categorizes them, and retrieves relevant contextual information from search results, returning the information in tabular or list form, using a search engine unit with logic for identifying entities and categories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual references and footnotes are created to provide contextual information, then contextual information can be provided, but it is time-consuming and error-prone
Solution Approach 1:
The system enables self-service by automatically generating contextual information through web searches and machine reading comprehension, eliminating the need for manual creation and updating of references and footnotes. The automated system continuously updates contextual information without human intervention.
Solution Approach 2:
The manual mechanical process of creating and updating references and footnotes is replaced with an automated electronic system that uses web searches, entity recognition, and machine reading comprehension to generate and update contextual information dynamically.
2Loss of information
If static references and footnotes are added to documents, then contextual information is provided, but documents become lengthier and more difficult to handle
Solution Approach 1:
The system transitions from static references and footnotes to dynamic contextual information that automatically updates when source information changes. The contextual information is generated on-demand and can be updated without revising the entire document, making it both complete and easy to handle.
Solution Approach 2:
The system extracts only the essential contextual information needed from external sources and presents it concisely, removing the need for lengthy references and footnotes while maintaining information completeness. Irrelevant or redundant information is excluded.
3Loss of information
If comprehensive references and external sources sections are included, then all contextual information is available, but not all users find the information useful
Solution Approach 1:
The system provides localized contextual information tailored to each specific entity and user query, rather than providing universal comprehensive references. The contextual information is customized to the local context of each entity mention and the specific needs of the user.
Solution Approach 2:
The system provides partial contextual information - only the most relevant and useful information for each specific entity and user query - rather than providing all possible information. This avoids information overload while ensuring user needs are met.
4Reliability
If manual updates are performed to keep contextual information current, then accuracy is maintained, but productivity is reduced
Solution Approach 1:
The system maintains continuous automated updates of contextual information by continuously monitoring source documents and automatically regenerating contextual information when changes are detected, ensuring currentness without manual intervention and maintaining high productivity.
Solution Approach 2:
The system uses feedback mechanisms to detect changes in source information and automatically triggers updates to contextual information only when necessary, maintaining accuracy while minimizing unnecessary processing and maximizing productivity.
Data Source
AI summary
Systems and methods for enhancing user experience in a document viewing environment are provided. The method includes displaying contextual information for an entity comprising of key/value pairs in the document thereby enhancing the user experience.


