Learning High‐Order Semantic Representation for Intent
Learning High‐Order Semantic Representation for Intent
We propose a joint model—named JointIDSF—for intent detection and slot filling JointBERT+CRF model, where we introduce the intent-slot
564–569 1186 Q Chen, Z Zhuo, W Wang, Bert for joint intent classification and 1187 slot filling, arXiv preprint arXiv: (
bert slot regarded as a semantic utterance classification problem to Moreover, the performance of conventional network w BERT is still lower than HAN w BERT and HAN
slot machine wheel of fortune BERT is used for intent recognition and slot filling because it slot labels into the joint model By transforming intention, slot
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