Conversational text

When you attach a conversational text data row to a project, Labelbox will automatically adjust the editor interface to render the conversational or thread-based text.

Import conversational text

To learn how to import conversational text data, visit our documentation on importing conversational text.

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Data row size limit

To view the maximum size allowed for a data row, visit our limits page.

Supported annotation types

Below are all of the annotation types you may include in your ontology when you are labeling conversational or thread data. Classification-type annotations can be applied globally and/or nested within an object-type annotation.

Entity

To create an entity, simply choose the entity tool in your ontology and select the text string by clicking the desired starting character and dragging to select a sequence of characters in the unstructured text.

Please note that in both the conversational and thread-based UI, the annotator will only be able to label messages that have been marked as canLabel in the import file. The messages that can be annotated will have a white background while those that cannot be annotated will have a grey background.

Message-based radio classifications

One unique feature of our conversation editor is the ability to label specific messages in a conversation with a radio classification value. This enables you to annotate messages with values such as intent or user sentiment.

In order to configure your radio classification as a message-based classification, you must configure your radio classification task as a Frame/pixel-based classification value during ontology configuration. If this value is not configured correctly, the radio classification will apply to the entire conversation rather than a single message.

Relationship

With the annotation relationships feature, you can create and define relationships between entity annotations in unstructured text. You can then use these annotation relationships to consolidate labeling workflows and potentially reduce the number of language models needed.

Create an annotation relationship with the following steps:

1. Create two entity annotations.
2. Use Option + Click to create a relationship between the entity annotations.
3. Define the relationship, selecting from the existing tools in your ontology.

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Relationships can be undefined

If desired, a relationship between two annotations can be defined with without a value. This denotes a direct relationship between the annotations without any extra modifiers.

Text-specific hotkeys