Illustration of the BERT model for joint intent detection and slot filling

'Sorry, I didn't understand that' bert for joint intent classification and slot filling BERT기반의 joint Model을 제안하여 기존의 모델들의 비해 여러 지표에서 크게 성능이 향상됨을 입증한다 3) Proposed Approach figure_1 입력 문장 bert slot 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

aplikasi bobol slot In this work, we present an adaptation of RecNNs to en- able joint domain, intent and slot classification 2The CNN+TriCRF model does do joint intent and slot