Entigen Assignment for Ambiguous Word Sets
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Solution Overview
Problem
Current computing systems face challenges in extracting useful information from large volumes of data due to issues like data accuracy and variations in how text is interpreted across languages and regional dialects, leading to ambiguities in representing knowledge.
Innovation Solution
A computing system that utilizes AI servers to ingest content, extract knowledge, and interact with user devices by generating and utilizing data representations, including pattern recognition techniques and grammatical classification to produce accurate responses to queries, even when dealing with ambiguous or polysemous words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pattern recognition techniques and statistical reasoning are used to process text, then the ability to interpret ambiguous words improves, but the complexity of the system increases
Solution Approach 1:
The system segments text processing into distinct grammatical categories (functional words, nouns, adjectives, verbs, adverbs) and processes each category with appropriate techniques. This segmentation allows the system to handle ambiguity in content words using pattern recognition while treating functional words through grammatical rules, reducing overall system complexity while maintaining interpretation accuracy.
Solution Approach 2:
The patent introduces grammatical classification as an intermediary layer between raw text and semantic interpretation. By first classifying words into grammatical types, the system creates a structured intermediate representation that simplifies subsequent interpretation tasks, reducing the direct complexity of handling ambiguous language while improving precision.
2Manufacturing precision
If grammatical classification is applied to all words, then sentence construction accuracy improves, but the loss of information about actual word meanings increases
Solution Approach 1:
The system applies different processing qualities to different parts of the text: functional words receive grammatical classification treatment to ensure proper sentence construction, while content words (nouns, verbs, adjectives, adverbs) receive pattern recognition treatment to preserve their actual meanings. This local differentiation resolves the contradiction by applying grammatical precision where needed without losing meaning information where it matters most.
Data Source
AI summary
A method executed by a computing device includes determining that a set of words are included in a word set. The method further includes determining a set of identigens for each word of the word set to produce sets of identigens, where a set of identigens of the sets of identigens represents one or more different meanings of a word of the word set. The method further includes interpreting, using identigen pairing rules, the sets of identigens to produce an entigen set. The method further includes assigning a single new entigen to represent the entigen set, where the single new entigen represents a most likely meaning interpretation of the word set.