NLU Overview¶
Cognigy Natural Language Understanding (Cognigy NLU) is the core engine of Cognigy.AI that allows AI Agents to interpret human language. Cognigy NLU processes text and speech to determine meaning, identify user queries, and understand context, enabling more humanlike conversations.
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Intents
Learn the fundamentals of Intents and how they're used in Cognigy.AI to enhance conversational AI capabilities
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NLU Performance Tuning
Fine-tune Intent recognition by analyzing accuracy and confidence. Adjust thresholds to optimize detection sensitivity
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Rules and Conditions
Define rules and conditions to refine Intent handling, ensuring accurate user input recognition and response
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Slots
Use Slots to extract data from user input, enabling dynamic interactions within conversations
Overview
System-Defined Slots
User-Defined Slots
Slot Fillers -
Affirmative Words
Configure words and phrases for affirmative recognition, improving AI Agents understanding capabilities
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Intent Hierarchy
Structure and prioritize Intents to improve recognition and mapping accuracy
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Attachments
Attach additional resources like Flows and Lexicons to enhance Intent processing and response generation
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External NLU
Integrate third-party NLU services for extended Intent recognition and language processing capabilities
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Miscellaneous
Explore additional NLU tools