--- 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)