Joint Intent and Slot Classification

Joint Intent and Slot Classification bert for joint intent classification and slot filling Joint BERT uses BERT as the language encoder, using the token for intent classification and token embeddings for slot filling Co bert slot Joint BERT: Q Chen proposed a joint intent-classification and slot-filling model based on BERT Experimental Setup LSTM and CNN are meta modules

bert slot slot filling into two stages, , the slot proposal and slot classification The slot proposal network consisting of BERT and bidirectional long short

slot apps that pay We implemented BERT for joint intent classification and slot filling on our dataset We also replaced the BERT backbone with other transformer-based models 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