Hierarchical Multi-Tier NLP Platform for Fast Utterance Routing
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Solution Overview
Problem
Conventional language processing systems face speed, accuracy, and efficiency deficiencies in quickly disambiguating spoken utterances, often leading to slow and inaccurate results due to time-consuming queries to resolve user intent.
Innovation Solution
A hierarchical multi-tier digital platform with a processor and non-transitory memory, utilizing a multi-tier tree architecture database and natural language processing engine to route verbal requests by identifying matching modules and compiling a result set for comprehensive and tailored responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional language processing systems use traditional processing methods, then they can handle basic utterance processing, but they suffer from slow processing speed and inability to quickly disambiguate utterances
Solution Approach 1:
The patent segments the language processing system into multiple independent modules organized in a hierarchical tree structure with at least three tiers. Each module handles specific aspects of utterance processing, allowing parallel processing and faster disambiguation without requiring sequential time-consuming queries to the speaker.
Solution Approach 2:
The system performs preliminary processing actions by pre-organizing processing modules in a hierarchical structure and pre-computing potential interpretations. This allows the system to quickly disambiguate utterances by selecting from pre-prepared options rather than engaging in time-consuming interactive queries.
2Measurement precision
If conventional systems engage in time-consuming queries to disambiguate utterances, then they may achieve accurate results, but the processing time increases significantly
Solution Approach 1:
By segmenting the processing into hierarchical modules, the system can accurately disambiguate utterances at different levels of specificity without requiring time-consuming user queries. Each tier refines the interpretation progressively, achieving accuracy through structured processing rather than interactive clarification.
Solution Approach 2:
The system performs partial disambiguation at each hierarchical tier, gathering sufficient information to make accurate decisions without completing exhaustive analysis. This allows the system to achieve adequate accuracy for practical purposes without the time cost of complete disambiguation.
3Productivity
If conventional systems process utterances without hierarchical structure, then the system architecture is simpler, but the processing efficiency and accuracy deteriorate
Solution Approach 1:
The hierarchical module segmentation improves processing efficiency by organizing functions into specialized tiers that can process information in parallel and progressively refine interpretations. The modular structure enables efficient resource utilization while maintaining manageable complexity through clear separation of concerns.
Solution Approach 2:
The patent introduces a hierarchical dimension to the system architecture, organizing modules across multiple tiers rather than using a flat structure. This dimensional organization improves processing efficiency by enabling progressive refinement and parallel processing while keeping each individual module relatively simple.
Data Source
AI summary
Aspects of the disclosure relate to systems and methods for increasing the speed, accuracy, and efficiency of language processing systems. A provided method may include storing a plurality of modules in a database. The method may include configuring the plurality of modules in a multi-tier tree architecture. The method may include receiving an utterance. The method may include processing the utterance via a natural language processing (NLP) engine. The method may include routing the utterance. The routing may include identifying a highest tier module that matches a predetermined portion of the utterance. The method may include compiling a result set of modules. The method may include transmitting the result set of modules to the system user. The result set of modules may include a comprehensive and narrowly tailored response to the user request.