Joint intent detection and slot filling for Turkish natural language

Joint intent detection and slot filling for Turkish natural language 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 Intent Slot Intent Slot Intent Slot ATIS CNN −065 Wang, BERT for joint intent classification and slot filling, 2019

bert slot We propose a joint model—named JointIDSF—for intent detection and slot filling JointBERT+CRF model, where we introduce the intent-slot

bert for joint intent classification and slot filling Intent classification and slot filling are core components in most Slot-gated modeling for joint slot filling and intent prediction In We implemented BERT for joint intent classification and slot filling on our dataset We also replaced the BERT backbone with other transformer-based models