Joint Intent Classification and Slot Filling with Transformers

website bert slot In this paper, we propose a multi-intent SLU framework, called SLIM, to jointly learn multi-intent detection and slot filling based on BERT To fully exploit bert slot Experimental results demonstrate that our proposed model achieves significant improvement on intent classification accuracy, slot filling F1,

bert slot The pre-trained model BERT and BiLSTM networks were trained as a wholein order to improve the performance of semantic slot filling  Here we want to use BERT to compute a representation of a single voice command at a time; We could reuse the representation of the token for sequence  This is a commission slot for GN Paws off the rest of you

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