---
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

```html

  
    
    
    
    
    
  
  
    
        
        
        
    

```

## About the labeling configuration

All labeling configurations must be wrapped in [View](/tags/view.html) tags.

Use the [ParagraphLabels](/tags/paragraphlabels.html) control tag to apply labels to specific dialogue spans:
```xml

    
    
    
    
    

```

Use the [Paragraphs](/tags/paragraphs.html) object tag to display dialogue:
```xml

```
  
Use the [Choices](/tags/choices.html) control tag to select a single classification tag for the dialogue and have annotators classify the intent of the dialogue:
```xml

    
    
    

```
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

- [ParagraphLabels](/tags/paragraphlabels.html)
- [Label](/tags/label.html)
- [Paragraphs](/tags/paragraphs.html)
- [Choices](/tags/choices.html)