rafiepour/CTran
Complete code for the proposed CNN-Transformer model for natural language understanding.
This project helps developers build applications that understand spoken or typed commands. It takes user input, like a sentence or phrase, and breaks it down to identify what the user wants to do (their 'intent') and any specific details they mentioned (the 'slots'). Developers working on chatbots, voice assistants, or other conversational AI systems would use this.
No commits in the last 6 months.
Use this if you are a developer building a conversational AI system and need a robust way to precisely identify user intent and extract key information from natural language input.
Not ideal if you are looking for a complete, out-of-the-box conversational AI solution for end-users, rather than a component for developers.
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30
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 03, 2024
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