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Speech Intent Classification and Slot Filling |
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**Intent Classification and Slot Filling** aims to not only recognize the user's intention, but also detect entity slots and their corresponding lexical fillers. Below is an example: |
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.. image:: images/example.png |
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:align: center |
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:scale: 50% |
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:alt: slurp_example |
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Different from its counterpart in Natural Language Understanding (NLU) that takes text as input, here the model predicts the semantics directly from audio input. |
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The full documentation tree is as follows: |
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.. toctree:: |
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:maxdepth: 8 |
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models |
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datasets |
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results |
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configs |
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api |
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resources |
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.. include:: resources.rst |
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