bert for joint intent classification and slot filling
A Fast Attention Network for Joint Intent Detection and Slot Filling on
bert for joint intent classification and slot filling
website bert for joint intent classification and slot filling 3 go back to reference Chen, Q , Zhuo, Z , Wang, W : BERT for joint intent classification and slot filling arXiv: , February 2019 http bert for joint intent classification and slot filling We enrich a pre-trained language model, such as BERT or RoBERTa, to jointly solve the tasks of intent classification and slot filling • We introduce an
bert for joint intent classification and slot filling We propose a joint model—named JointIDSF—for intent detection and slot filling JointBERT+CRF model, where we introduce the intent-slot bi-directional joint model for intent classification and slot fill- ing, which includes a multi-stage hierarchical process via BERT and bi-directional joint Attention-Based Iterated Dilated Convolutional Neural Networks for Joint Intent Classification and Slot Filling model further boosts the
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