MahmoudWahdan/dialog-nlu
Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU
This tool helps developers working on conversational AI systems to build the natural language understanding (NLU) component. It takes user utterances (text inputs) and identifies the user's intent (e.g., 'play music') and any relevant 'slots' or entities (e.g., 'Sabrina Salerno' as an artist). Developers can then use this structured output to power chatbots, voice assistants, or other dialog systems.
100 stars. No commits in the last 6 months.
Use this if you are a developer building conversational AI and need to accurately extract user intentions and specific entities from natural language inputs, especially if you want to use state-of-the-art transformer models.
Not ideal if you are looking for a pre-built, end-to-end chatbot solution or if you are not comfortable with Python and machine learning frameworks like TensorFlow and Keras.
Stars
100
Forks
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 21, 2021
Commits (30d)
0
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