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---
title: Slot Filling and Intent Classification
type: templates
category: Conversational AI
cat: conversational-ai
order: 820
meta_title: Slot Filling and Intent Classification Data Labeling Template

meta_description: Template for slot filling in natural language understanding use cases with intent classification for dialogue with Label Studio for your machine learning and data science projects.

For natural language understanding cases when you need to detect the intent of a speaker in dialogue, perform intent classification and slot filling to identify the entities related to the intent of the dialogue, and classify those entities.

Use this template to provide a section of dialogue, assign labels to spans of text in the dialogue, and classify the intent of the dialogue.

Interactive Template Preview

Labeling Configuration

<View>
  <ParagraphLabels name="entity_slot" toName="dialogue">
    <Label value="Person" background="#ff0012"/>
    <Label value="Organization" background="#2311de" />
    <Label value="Location" background="#00ff01"/>
    <Label value="Datetime" />
    <Label value="Quantity" />
  </ParagraphLabels>
  <Paragraphs name="dialogue" value="$dialogue" layout="dialogue" />
    <Choices name="intent" toName="dialogue"
         choice="single" showInline="true">
        <Choice value="Greeting"/>
        <Choice value="Customer request"/>
        <Choice value="Small talk"/>
    </Choices>
</View>

About the labeling configuration

All labeling configurations must be wrapped in View tags.

Use the ParagraphLabels control tag to apply labels to specific dialogue spans:
xml <ParagraphLabels name="entity_slot" toName="dialogue"> <Label value="Person" background="#ff0012"/> <Label value="Organization" background="#2311de" /> <Label value="Location" background="#00ff01"/> <Label value="Datetime" /> <Label value="Quantity" /> </ParagraphLabels>

Use the Paragraphs object tag to display dialogue:
xml <Paragraphs name="dialogue" value="$dialogue" layout="dialogue" />

Use the Choices control tag to select a single classification tag for the dialogue and have annotators classify the intent of the dialogue:
xml <Choices name="intent" toName="dialogue" choice="single" showInline="true"> <Choice value="Greeting"/> <Choice value="Customer request"/> <Choice value="Small talk"/> </Choices>
The choice="single" parameter restricts the annotators to one choice selection, and showInline="true" controls the display of the choices on the labeling interface.

Related tags