Dialogue State Rewriting for Adaptive AI Conversations
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Solution Overview
Problem
Existing AI-based dialog systems lack efficiency in managing user intents and responses, as they rely on predefined information and struggle to adapt to changing user requirements during multiple rounds of dialogue.
Innovation Solution
A dialog method and system that rewrites dialog states based on user input, determines relevant action information, and generates responses, utilizing pre-trained models to extract intents, manage dialog states, and guide user interactions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predefined dialog information is used for intent detection and response generation, then the system structure is simple and easy to implement, but the system lacks adaptability to changing user requirements during multiple rounds of dialogue
Solution Approach 1:
The patent implements dynamic dialog state rewriting that adapts to changing user requirements during multiple rounds of dialogue. The system dynamically rewrites dialog states based on current user input rather than relying on static predefined information, allowing the system to adapt to evolving user needs while maintaining a manageable structure through automated state management.
Solution Approach 2:
The system changes the parameters of dialog state representation by rewriting states based on current user input. This allows the system to transform static predefined dialog information into dynamic state representations that reflect current user requirements, improving adaptability without requiring complete restructuring of the system architecture.
2Measurement precision
If predefined dialog states are used without rewriting, then the processing speed is fast, but the accuracy of understanding user intent deteriorates in multi-round dialogues
Solution Approach 1:
The system performs preliminary dialog state rewriting before generating responses, preparing accurate state representations in advance. This preliminary action ensures that the most relevant and accurate dialog state information is available when needed, improving intent detection accuracy without significantly impacting overall processing time.
Solution Approach 2:
The dialog state rewriting process continues across multiple dialogue rounds, maintaining continuous updates to dialog states based on current user input. This continuous rewriting ensures that the system consistently has accurate understanding of user intent throughout the dialogue, preventing degradation of precision over time.
3Ease of operation
If the system actively guides users through dialog rounds, then the user experience is improved, but the complexity of dialog management increases
Solution Approach 1:
The system implements self-service dialog management through automated dialog state rewriting and action determination. The system autonomously manages dialog states and generates appropriate responses without requiring complex external control mechanisms, improving user experience through active guidance while keeping the management complexity contained within the automated rewriting process.
Data Source
AI summary
The present disclosure provides a dialog method and system, an electronic device and a storage medium, and relates to the field of artificial intelligence (AI) technologies such as deep learning and natural language processing. A specific implementation scheme involves: rewriting a corresponding dialog state based on received dialog information of a user; determining to-be-used dialog action information based on the dialog information of the user and the dialog state; and generating a reply statement based on the dialog information of the user and the dialog action information. According to the present disclosure, the to-be-used dialog action information can be determined based on the dialog information of the user and the dialog state; and then the reply statement is generated based on the dialog action information, thereby providing an efficient dialog scheme.