---
sourceDocument: Australia Conversational Interfaces
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/de-DE/conversational-interfaces

 Release :

    - australia

ft:locale :

    - de-DE

ft:publication_title :

    - Australia Conversational Interfaces

ft:clusterId :

    - convint

bundleId :

    - convint

workflow :

    - Platform


---

# Topic NLU Intent tab

# Topic NLU Intent tab {#ariaid-title1}

* Freigeben Version: Australia
* 
* Aktualisiert 12. März 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 Minuten Lesedauer

You can edit and refine ServiceNow
NLU models from within Assistant Designer. When a
conversation topic is bound to an associated NLU model and intent, use
the NLU Intent tab to review and edit utterances and associated entities.
Hinweis:  
An updated Assistant Designer Asset library user interface is available when you install Now Assist in Virtual Agent and turn on the Now Assist Topics skill. This content assumes that you have activated this skill and can see the list view. If this skill is not activated, you see the legacy UI and topics page. For more information, see [Virtual Agent Designer legacy topics page](https://servicenow-prod.fluidtopics.net/ESoB~Pc7f01EoEYPSsLxAg "The Virtual Agent Designer legacy home page lists cards for available topics in your instance.").

If your topic uses NLU discovery, the topic NLU Intent tab appears on the Assistant Designer interface. Test your topic to see the prediction results for topic discovery and the corresponding confidence scores for the results. Depending on the results, you can modify the
associated utterances and entities in the NLU model for your topic intent.

## Utterances tab {#vad-topic-nlu-intent-tab__section_pjc_fkq_1mb}

Use the Utterances tab to perform the following tasks.  
{#vad-topic-nlu-intent-tab__table_ikh_vgz_rzb__entry__2}

| I want to... | Do this |
|-|-|
| Add an utterance | Use the Add field to enter an utterance for an intent. Each utterance must be unique and contain fewer than 200 characters. |
| Edit an utterance | Select the Edit icon ![]() next to the utterance. |
| Duplicate an utterance | Select the Copy icon ![]() next to the utterance. |
| Move an utterance to another intent | Select the Menu icon ![](), and then select Move this utterance to another intent. |
| Delete an utterance | Select the Menu icon ![](), and then select Delete this utterance. |
| Define a new entity | 1. Select a word in an utterance to use as an entity. 2. In the Create New Entity picker, select the type of entity to be created, such as a simple or system-derived entity.For information about the types of entities that you can define, see [NLU entities](https://www.servicenow.com/docs/access?context=entities&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). For information about system entities, see [NLU system entities](https://servicenow-prod.fluidtopics.net/JKmncAulkWJiXY_9Lw~vqw "Use globally defined NLU entities to identify system information that Virtual Agent can extract from the conversation. You can define entities as \"nodeless\" input variables for a topic. These variables can be slot-filled from NLU service provider predictions or provided outside of the scope of the topic."). When you add an entity, it is also displayed in the Associated Entities tab. {#vad-topic-nlu-intent-tab__ol_vhm_s3z_rzb} |
[Tabelle : 1. Using the Utterances tab]

{#vad-topic-nlu-intent-tab__table_ikh_vgz_rzb}  
Abbildung : 1. Example utterances on the NLU Intent tab
Abbildung : 2. Adding entities on the Utterances tab

## Associated Entities tab {#vad-topic-nlu-intent-tab__section_lhk_l3j_wqb}

Use the Associated Entities tab to view the entities defined for the intent. Select the name to view the utterances that the entity is associated with.  
Abbildung : 3. Entities defined for an intent named UpdatePhoneNumber

You can also associate system entities, such as date and time, with an intent. For more
information about supported system entities, see [NLU system entities](https://servicenow-prod.fluidtopics.net/JKmncAulkWJiXY_9Lw~vqw "Use globally defined NLU entities to identify system information that Virtual Agent can extract from the conversation. You can define entities as \"nodeless\" input variables for a topic. These variables can be slot-filled from NLU service provider predictions or provided outside of the scope of the topic.").

## Conflicts tab {#vad-topic-nlu-intent-tab__section_fxx_l4y_prb}

Use the Conflicts tab to view conflicts among your intents. For
example, if two different intents use the same utterance, this will appear as a conflict in
both Assistant Designer and NLU Workbench. Identifying and
resolving conflicts improves the effectiveness of NLU topic discovery.  
Abbildung : 4. Utterance conflict between two intents