title: Intent Classification and Slot Filling
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type: community
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group: Conversational AI
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image: /static/templates/intent-classification-and-slot-filling.png
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details: |
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<h1>Build a task-oriented dialogue system by selecting dialogue intents and extracting slot entities</h1>
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<dl>
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<dt>Industry Applications</dt>
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<dd>chatbots, virtual assistants, customer service automation, voice assistants, smart speakers, IVR systems, booking systems, e-commerce assistants, banking chatbots, healthcare assistants, travel booking, restaurant reservations</dd>
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<dt>Associated Models</dt>
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<dd>natural language understanding, joint training, BERT-based models, multi-task learning</dd>
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<dt>Domain Terminology</dt>
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<dd>NLP, NLU, slot extraction, intent recognition, dialogue systems, task-oriented conversation</dd>
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</dl>
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config: |
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<View>
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<ParagraphLabels name="entity_slot" toName="dialogue">
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<Label value="Person" />
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<Label value="Organization" />
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<Label value="Location" />
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<Label value="Datetime" />
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<Label value="Quantity" />
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</ParagraphLabels>
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<Paragraphs name="dialogue" value="$humanMachineDialogue" layout="dialogue" />
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<Choices name="intent" toName="dialogue"
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choice="single" showInLine="true">
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<Choice value="Greeting"/>
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<Choice value="Customer request"/>
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<Choice value="Small talk"/>
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</Choices>
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</View>
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