Query Interpretation Using Equation Packages for Word Ambiguity
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Solution Overview
Problem
Existing data processing systems struggle to effectively generate and utilize knowledge from large volumes of data due to issues with data accuracy and variance in language interpretation, leading to difficulties in producing useful information.
Innovation Solution
A computing system that utilizes AI servers to ingest content, extract knowledge, and interact with user devices to facilitate the generation and utilization of knowledge through pattern recognition and statistical reasoning, incorporating modules like collections, identigen intelligence, and query modules to interpret and respond to queries.
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 overcome ambiguities in words is improved, but the complexity of the data processing system increases
Solution Approach 1:
The patent segments text processing into distinct grammatical components (functional words, nouns, adjectives, verbs, adverbs) and processes each type through specialized techniques. This segmentation allows the system to handle complexity in a modular fashion, improving interpretation accuracy without overwhelming the system architecture.
Solution Approach 2:
The patent introduces grammatical classification as an intermediary layer between raw text and interpretation. By first categorizing words into grammatical types and then applying distributional analysis, the system creates a structured intermediate representation that simplifies the overall processing while maintaining high accuracy.
2Stability of the object's composition
If grammar based techniques are used to distribute words within sentences, then the structural correctness of sentences is improved, but the ability to identify actual word meanings deteriorates
Solution Approach 1:
The patent applies dynamic word order rules specific to each grammatical type, allowing words to be positioned flexibly within sentences based on their grammatical function rather than rigid positional constraints. This dynamic approach maintains grammatical correctness while preserving the semantic meaning of words through distributional analysis.
Solution Approach 2:
The patent changes the parameter of word positioning from fixed to variable based on grammatical type. By allowing different grammatical categories to occupy different positions and distributions within sentences, the system maintains structural correctness while enabling accurate identification of word meanings through their contextual distributions.
Data Source
AI summary
A method executed by a computing device includes forming tokenized words based on text that includes a query and associating individual tokenized words with information indicative of possible interpretations of the individual tokenized words. The method further includes generating one or more equation packages based on respective permutations of the possible interpretations and selecting a surviving equation package of the one or more equation packages based on at least some of the relationship information described in the one or more equation packages. The method further includes generating, based on the surviving equation package of the one or more equation packages, a response to the query.