A Fast Attention Network for Joint Intent Detection and Slot Filling on
A Fast Attention Network for Joint Intent Detection and Slot Filling on
This work proposes a joint intent classification and slot filling model based on BERT that achieves significant improvement on intent classification
Intent classification and slot filling are two essential tasks for natural language understanding They often suffer from small-scale human-labeled training
bert slot BERT for joint intent classification and slot filling · Abhisek Tiwari · Tulika Saha · Sriparna Saha · Shubhashis Sengupta · Anutosh Maitra · Roshni
the goonies slot demo BERT for Joint Intent Classification and Slot Filling There's also an example dataset based on Snips that shows how to create custom intents
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