JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
Predict user intentions and extract information from text using a single model designed for both tasks in Python.
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Free · no card · unsubscribe anytimePytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
JointBERT has 747 stars on GitHub. It has been forked 201 times. JointBERT is written mainly in Python. It has been in active development since 2019. JointBERT is available under the Apache-2.0 license. Its main topics are bert, intent-classification, joint-bert, pytorch.
What is JointBERT?
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
Is JointBERT open source?
JointBERT is an open-source project. It is released under the Apache-2.0 license.
Is JointBERT free?
Yes. JointBERT is free and open source — you can use, modify and self-host it.
What license does JointBERT use?
JointBERT is available under the Apache-2.0 license.
What language is JointBERT written in?
JointBERT is written mainly in Python.
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