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