Natural language understanding approaches based on joint task of

Natural language understanding approaches based on joint task of bert for joint intent classification and slot filling 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 slot BERT기반의 joint Model을 제안하여 기존의 모델들의 비해 여러 지표에서 크게 성능이 향상됨을 입증한다 3) Proposed Approach figure_1 입력 문장

bert slot Intent classification and slot filling are core components in most Slot-gated modeling for joint slot filling and intent prediction In

slot machines odds 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 The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The