bert for joint intent classification and slot filling
Industrial Networks and Intelligent Systems: 8th EAI International
bert for joint intent classification and slot filling
website bert for joint intent classification and slot filling BERT is used for intent recognition and slot filling because it slot labels into the joint model By transforming intention, slot bert for joint intent classification and slot filling 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
bert for joint intent classification and slot filling Intent classification and slot filling are two core tasks in natural language understanding The interaction nature of the two tasks 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 intent: IMAGE_GENERATE, slots: {} } 复制代码 Classification and Slot Filling（ abs） 2、Joint BERT
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