How to create an NLU Model
To create a new model, proceed as follows:
Navigate to NLU → NLU Models section.
Click Create. The following dialog box opens:
3. Fill in the fields below:
Name: Model name
Group: Group of users who can access the model
Domain:Based on the selected domain, an out-of-the-box understanding of intents and entities will be available using Omilia’s pre-tuned xPacks. Regardless of the selected domain, you can add your own data to augment your model’s understanding using Machine Learning. Available domains are the following:
The Universal domain offers out-of-the-box Entities understanding only. In case you want to also include intents, you can build your own fully custom intent understanding.
The Custom domain has no out-of-the-box understanding and you can fully customize it by adding your own data and uploading your own custom NLU Logic (which is your own NLU file developed on Conversation Studio).
Language: The NLU model’s Language. Out-of-the-box understanding is for the language you select.
Version: Software version. The default value is 2.7.2.
Training Set: Allows you to add your own custom training data to augment the model’s intent understanding using Machine Learning.
Add a file with training data in TXT, CSV, or TSV. This is an optional field.
Description: Provide a short description of the NLU model. This field is optional.
4. Click Create to confirm. The model is created.
Model drill-down page
After having created a model, you are forwarded to the model drill-down page.
The model name.
The language selected for the model.
The model domain.
The model identification number.
To copy the ID to the clipboard, click .
The name of the user the model was created by.
The model status. The following statuses are possible:
Depending on the model domain, the drill-down page may look different:
If you have created a model with a specific domain, all the out-of-the-box intents, and example utterances, if available, will be visible there as shown below:
If you used a TXT, CSV, or TSV file to add your custom data (intents and utterances), they will also be visible on the drill-down page.
If you have created a custom domain model, no out-of-the-box understanding is available and you have to build it from scratch.