Natural Language Query Interface for Digital Documents
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Solution Overview
Problem
Existing interactive virtual conversation interfaces are inefficient in processing and responding to user queries due to cumbersome query processes, requiring significant time and effort from users to navigate through large amounts of information.
Innovation Solution
The method involves utilizing natural language processing to create a hierarchical structure of digital documents, allowing users to query systems through plain textual information, generating responses by parsing queries and utilizing named entity files, intent files, and table query statements to efficiently retrieve and display results, with the option to incorporate third-party data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users navigate through large amounts of information manually, then they can access detailed information, but the time and effort required increases significantly
Solution Approach 1:
The patent introduces natural language processing as an intermediary between the user and the digital document system. The NLP component translates user queries into structured search operations, automatically navigating through the document hierarchy without requiring manual user interaction with the information structure. This mediator efficiently retrieves relevant information while maintaining full information accessibility.
Solution Approach 2:
The patent replaces the mechanical navigation process (manual clicking, scrolling, and searching through documents) with an automated computational system. The natural language processing engine automatically parses, understands, and executes information retrieval operations, substituting the manual mechanical interaction with intelligent automated processing that significantly reduces time while preserving information access.
2Measurement precision
If the query process requires multiple steps and navigation, then users can ensure accurate information retrieval, but the ease of operation decreases
Solution Approach 1:
The system performs self-service by automatically understanding and executing the information retrieval task without requiring the user to navigate through multiple steps. The natural language processing engine autonomously parses the user's intent, identifies relevant information, and retrieves accurate results, maintaining retrieval precision while making the operation as simple as typing a natural language question.
Solution Approach 2:
The natural language processing component acts as an intelligent intermediary that bridges the gap between simple user input and complex information retrieval requirements. It translates casual natural language queries into precise search operations, ensuring accurate information retrieval while maintaining ease of operation by hiding the complexity from the user.
3Measurement precision
If the system processes natural language queries through multiple processing steps, then the response accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent segments the natural language processing system into distinct functional modules: query parsing, intent recognition, information retrieval, and response generation. Each module handles a specific aspect of the processing task, which maintains high response accuracy through specialized processing while managing system complexity through modular design. The segmentation allows each component to be optimized independently.
Solution Approach 2:
The natural language processing engine serves as an intermediary layer that manages the complexity of multi-step processing. It coordinates between the user's simple input and the complex retrieval operations, breaking down the processing into manageable steps while presenting a unified simple interface to users, thereby maintaining accuracy without exposing the underlying complexity.
Data Source
AI summary
The present technology relates generally to interactive virtual conversation interfaces, and more specifically, a method for querying an interactive virtual conversation interface in natural language, comprising receiving a digital document in a system, connecting to the system having the digital document, creating named entity files within the digital document, initializing operators and intent files, processing an end user query, creating a table query statement, sending the table query statement to the system, and receiving and displaying results.