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Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition.
Features
- Defines templates using a simple domain-specific language
- Generates varied training examples for NLU models
- Supports slot filling and entity extraction scenarios
- Provides an interactive mode for real-time template testing
- Compatible with Rasa NLU and other NLU frameworks
- Open-source under the MIT license
Project Samples
Categories
Parser GeneratorsLicense
MIT LicenseFollow Chatette
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