Virtual Conversation Interface Using NLP Tree Structures

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Solution Overview

Problem

Existing AI solutions for virtual conversation interfaces require the construction of a knowledge base in a specific format, limiting their ability to ingest and process diverse digital documents, and often introduce political bias in information dissemination.

Innovation Solution

A system that utilizes natural language processing to generate a hierarchical tree structure from digital documents, allowing for the creation of interactive virtual conversation interfaces that can process both structured and unstructured documents, and provide unbiased responses to user queries by leveraging third-party data sources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If existing AI solutions require construction of a knowledge base in a specific format, then the system can provide structured responses, but the ability to ingest and process diverse digital documents is limited

Engineering Contradiction:

Improveability to ingest diverse digital documentsVSAvoidknowledge base construction requirement

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically processes digital documents through natural language processing to generate tree structures without requiring manual knowledge base construction. The NLP engine autonomously extracts topics, determines hierarchical relationships, and creates the response framework, eliminating the need for human experts to manually structure knowledge bases while maintaining high adaptability to diverse document formats

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the fundamental parameter of knowledge representation from fixed-format knowledge bases to flexible tree structures generated dynamically from any digital document. By varying the input document format parameter while maintaining the same processing pipeline, the system achieves versatility across diverse document types without requiring different system configurations

Inventive Principle:

Principle #35Parameter changes

2Reliability

If manual knowledge base construction is used, then information can be structured, but political bias may be introduced in information dissemination

Engineering Contradiction:

Improveunbiased information disseminationVSAvoidmanual construction time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system eliminates human involvement in the information structuring process by using automated natural language processing to generate tree structures from digital documents. This self-service approach removes the possibility of human political bias being introduced during knowledge base construction, while simultaneously reducing the time required from manual construction to automated processing

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces the mechanical process of manual knowledge base construction with an automated computational process. By substituting human manual work with algorithmic natural language processing, the system eliminates human bias while maintaining the ability to structure information, achieving both reliability and time efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If virtual conversation interfaces are created with detailed knowledge bases, then response accuracy improves, but the effort required to create and maintain these interfaces increases

Engineering Contradiction:

Improveresponse accuracyVSAvoidinterface creation and maintenance effort

Core Design Contradiction:

Measurement precisionVSEase of manufacture

Solution Approach 1:

The system automatically maintains the tree structure by reprocessing source digital documents when updates are needed, eliminating manual maintenance effort. The NLP engine self-updates the knowledge representation by re-extracting topics and hierarchical relationships from the original documents, ensuring response accuracy without requiring continuous manual intervention

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary processing of digital documents to extract and structure all relevant information upfront into a comprehensive tree structure. By conducting this extraction and organization work in advance, the system ensures high response accuracy for all possible queries while reducing ongoing maintenance effort, as the pre-processed structure can serve multiple query scenarios

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS11163936B2Interactive virtual conversation interface systems and methods

Publication Date: 2021.11.02 NOHOLD

AI summary

Interactive virtual conversation interfaces are provided herein. An example method includes receiving a digital document that has textual information, utilizing one or more forms natural language processing of the digital document, based on the nature of the digital document, to ascertain a hierarchical structure of the plain textual information, and determine topics within the plain textual information, generating a tree structure based on relationships between topics of the plain textual information, wherein the topics are arranged into the tree structure, and generating a virtual conversation interface that receives queries and presents responses to the queries using the tree structure.