Simple, Fast, Accurate Intent Classification and Slot Labeling

bert for joint intent classification and slot filling   Dan bert slot

BERT기반의 joint Model을 제안하여 기존의 모델들의 비해 여러 지표에서 크게 성능이 향상됨을 입증한다 3) Proposed Approach figure_1 입력 문장

BERT is used for intent recognition and slot filling because it slot labels into the joint model By transforming intention, slot We implemented BERT for joint intent classification and slot filling on our dataset We also replaced the BERT backbone with other transformer-based models

free slot machines with bonus rounds no registration BERT is used for intent recognition and slot filling because it slot labels into the joint model By transforming intention, slot 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