Graph-based dialogue systems

Dialogue systems are sophisticated AI-powered applications designed to facilitate human-computer interaction through natural language. These systems employ various NLP techniques such as natural language understanding, dialogue management, and natural language generation to interpret user inputs, maintain context, and produce appropriate responses. Modern dialogue systems often integrate machine learning algorithms to improve their performance over time, adapting to user preferences and learning from past interactions. They find applications in diverse fields, including customer service, virtual assistants, educational tools, and interactive storytelling, continuously evolving to provide more natural and effective communication between humans and machines.

Graph-based approaches have shown significant promise in enhancing the performance and capabilities of dialogue systems. By leveraging graph structures to represent dialogue context, knowledge, and...