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How can I improve entity recognition in my Rasa chatbot?
Asked on Nov 13, 2025
Answer
Improving entity recognition in a Rasa chatbot involves refining your training data and leveraging Rasa's built-in features effectively. You can enhance entity recognition by providing diverse examples and using Rasa's custom components if needed.
Example Concept: To improve entity recognition in Rasa, ensure your training data includes varied examples of each entity type. Use synonyms and different sentence structures to cover possible user inputs. Additionally, consider using Rasa's lookup tables and regex features to boost recognition accuracy for specific entities.
Additional Comment:
- Review and expand your NLU training data to include more examples for each entity.
- Use lookup tables for entities with a fixed set of possible values.
- Implement regex features for entities that follow a specific pattern, such as email addresses or phone numbers.
- Test your model regularly and update the training data based on real user interactions.
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