Skip to main content
  1. Botium Support
  2. Test Suite
  3. NLP

Annotate and Augment NLP Training Dataset

As you have now identified some issues in your NLP performance it is time to augment the training data to improve the NLP performance.

Tip: This step only applies if you used the Conversation Model Downloader to download the full training data from your NLU engine. Otherwise you will have to apply the changes to your training data in your NLU engine itself - here are links to the documentation of some supported providers:

Actions to Take

With Botium's guidance, you can now decide on the appropriate actions. Generally, there are three possible ways to augment your training data:
  1. Add additional user examples for specific intents.
    Tip: Botium includes a paraphraser tool to quickly generate new user examples based on given ones. Read the article How to Use the Paraphraser to Generate New User Examples to learn more.

  2. Remove user examples from intents.

  3. Move user examples from one intent to the other.

Tip: You can use the Botium Test Case Designer to perform these actions. Botium Tools & Settings > Test Sets > Your Test Set > Test Cases

Was this article helpful?

0 out of 0 found this helpful