ADVANCES IN DIALOGUE MANAGEMENT SYSTEMS FOR CONVERSATIONAL A
Keywords:
Conversational AI, Dialogue Management, Context Tracking, Response Generation, Natural Language ProcessingAbstract
This article explores the evolution and current state of dialogue management systems in conversational AI, focusing on key components such as state tracking, context management, and response generation. The article presents recent advancements and their impact on real-world applications, particularly in customer service and virtual assistants. It discusses significant accuracy, efficiency, and user satisfaction improvements supported by empirical data from various studies and industry reports. The review also discusses problems that still need to be solved regarding long-term context retention, multi-modal interactions, and ethical issues. It also suggests some exciting areas for future research that could lead to more natural, context-aware, and flexible conversational AI systems.
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