Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention

Researchers have developed a novel topic continuity model that prevents chatbots from abruptly changing subjects during conversations. Built on a Nonlinear Naive Bayes framework with an attention mechanism, the model can handle conversations of any length with linear time complexity, outperforming traditional methods. It converts natural language understanding into an interpretable formula, specifically excelling in lengthy and complex dialogues. This addresses a major pain point in business chatbot deployments where topic jumps create poor user experiences.