Automated Glossary Generation for Document Term Parsing
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Solution Overview
Problem
Users often receive electronic content filled with unfamiliar terms, acronyms, or industry jargon, requiring frequent interruptions to consult external sources for definitions, as there is no centralized source for such information, especially in dynamic business or academic environments with unique vocabularies.
Innovation Solution
Automatically generating a glossary for documents by parsing unique terms, retrieving definitions from local or external sources, and storing them for future use, with user approval, to provide quick access to definitions within the document or project store.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users consult external sources for definitions of unfamiliar terms, then understanding of terms is achieved, but time is lost due to frequent interruptions
Solution Approach 1:
The system performs preliminary action by automatically generating a glossary of unfamiliar terms and definitions before the user needs them. The glossary is created by parsing documents, identifying unique terms, and retrieving definitions from external sources in advance, so that when users encounter these terms during reading or editing, the definitions are already available and do not require interrupting their workflow to look up.
Solution Approach 2:
The system introduces an intermediary element - an automated glossary generation and delivery mechanism - that mediates between the user and external definition sources. Instead of users directly consulting multiple external sources during reading (which causes interruptions), the system intercepts the information need, automatically retrieves definitions from external sources, and delivers them to the user in context, thereby eliminating the interruption cycle.
2Loss of information
If multiple external sources are consulted for term definitions, then comprehensive definitions are obtained, but device complexity increases
Solution Approach 1:
The system merges multiple external definition sources into a single unified glossary delivery mechanism. Instead of requiring users to manually consult multiple separate sources (dictionaries, thesauruses, domain-specific references), the system combines access to these sources and consolidates the results into one integrated glossary that is automatically delivered to users, thereby reducing the perceived complexity while maintaining comprehensive definition coverage.
Solution Approach 2:
The system implements self-service by automatically performing the entire glossary generation and delivery process without user intervention. The system autonomously parses documents, identifies unfamiliar terms, queries external definition sources, and presents definitions to users. This automation eliminates the need for users to navigate complex multi-source lookup procedures, effectively hiding the system complexity from the user while delivering comprehensive definitions.
3Productivity
If a centralized glossary is generated and stored, then quick access to definitions is achieved, but initial processing time is consumed
Solution Approach 1:
The system applies preliminary action by generating the glossary in advance before users need the definitions. During document parsing and initial processing, the system identifies all unique terms and retrieves their definitions from external sources, storing them in a ready-to-use glossary. This upfront investment in glossary generation eliminates the need for users to wait for definitions during their actual reading or editing work, thereby trading minimal initial processing time for significant gains in subsequent access speed and overall productivity.
Data Source
AI summary
Automatically generating a glossary of terms for a given document or group of documents is provided. A single document or a group of documents associated with a given project or event are parsed for one or more unique terms (e.g., words, acronyms, phrases, etc.). Identified terms are passed to a local or external definition source, and definitions for the one or more identified terms are retrieved. Retrieved definitions are presented to a user of the documents, and approved definitions are stored in a project store for subsequent use in association with the documents.