Document Name Generation and Modification via Word Segmentation
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Solution Overview
Problem
Existing document naming technologies often result in inappropriate document names, making it difficult for users to modify character strings representing document names, which are generated from document content, as direct character input modification is cumbersome.
Innovation Solution
An information processing apparatus that extracts words of multiple categories from a document, selects and arranges them based on user-defined rules to generate a character string, presents candidate words for replacement, and allows users to easily modify the string by replacing words, thereby simplifying the modification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a document name is generated automatically from document content using OCR and character recognition, then the document naming process is automated and productivity is improved, but the ease of modification deteriorates because users must directly input characters for modification which is cumbersome
Solution Approach 1:
The patent segments the automatically generated document name into multiple words that represent different categories (e.g., document type, date, author). This segmentation allows users to modify individual words independently by selecting from candidate words of the same category, rather than requiring direct character-by-character input modification. The segmentation transforms the modification task from a complex character editing operation into a simpler word selection process.
Solution Approach 2:
The patent introduces an intermediary structure - a database storing multiple candidate words categorized by type (e.g., document types, dates, authors). When users need to modify a document name, they select from these pre-prepared candidate words rather than typing directly. This intermediary word bank mediates between the automatic generation system and the user modification need, maintaining both automation benefits and ease of modification.
2Ease of operation
If a document name is generated by directly inputting characters from user, then the ease of modification is maintained, but the productivity deteriorates because manual character input is time-consuming
Solution Approach 1:
The patent performs preliminary action by automatically generating a complete document name from document content using OCR and character recognition before the user needs to modify it. The system extracts words from the document, categorizes them, and assembles a preliminary document name. This preliminary generation eliminates the need for users to manually input characters from scratch, significantly improving productivity while still allowing easy modification through word selection from candidates.
3Device complexity
If document names are generated without word categorization and structured arrangement, then the device complexity is reduced, but the adaptability deteriorates because the system cannot provide targeted candidate words for modification based on word categories
Solution Approach 1:
The patent segments the document name into words belonging to different categories (document type, date, author, etc.). This categorization structure enables the system to adaptively present candidate words based on the category being modified. While this adds some structural complexity, it significantly enhances adaptability by allowing the system to provide context-appropriate candidate words for each position in the document name.
Solution Approach 2:
The patent changes the parameter of word organization from unstructured to structured by category. By organizing extracted words into categorical groups and arranging them in a structured manner, the system enables adaptive presentation of candidate words. This parameter change from simple to structured organization allows the system to respond differently based on which word the user wants to modify, enhancing versatility.
Data Source
AI summary
An information processing apparatus includes a processor configured to extract, from a document, words of plural categories, select one extracted word from each of the plural categories, generate a first character string by arranging the selected words in accordance with a rule, wherein the rule determines positions of the selected words within the first character string based on the categories of the selected words, in response to reception of an operation of changing a first word in the first character string from a user, present to the user one or more candidate words from the category of the first portion of the first character string, generate a second character string by replacing the first word in the first character string with a user-selected word selected by the user from among the one or more candidate words, and store the second character string in a memory in association with the document.