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Joint Intent Classification
Joint intent classification is a technique where the system simultaneously identifies the userβs intent and any key entities in the same step. For example, from βI want to book a test drive in Mumbai,β it extracts both the intent (booking) and the city (Mumbai). This combined approach speeds up understanding and improves accuracy in AI-driven conversations.
