Learning to Classify Intents and Slot Labels Given a Handful of

bert for joint intent classification and slot filling   Dan bert for joint intent classification and slot filling

Will be filled automatically based on _model bert-345m-cased and megatron-bert-345m-uncased ) model

Slot and Intent denote the number of slot labels and intent types BERT base as the basis, which has 12 layers and 12 heads The dimension Abstract:Intent classification and slot filling are two essential tasks for natural language understanding

gamatron 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 Intent Slot Intent Slot Intent Slot ATIS CNN −065 Wang, BERT for joint intent classification and slot filling, 2019