Pytorch implementation of JointBERT: BERT for Joint Intent

bert for joint intent classification and slot filling   Dan bert slot

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

”BERT for joint intent classification and slot filling” , only keeping the “BERT for joint intent classifi- cation 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

fantastic 4d slot login Specifically, the proposed joint BERT model improves intent classification accuracy, slot filling F1 score, and sentence-level semantic frame accuracy The Intent Classification And Slot Filling, Joint BERT-Based Model Paper 12 No specific methodology name mentioned Hierarchical Encoder, Context-Aware