Enriched Pre-trained Transformers for Joint Slot Filling and Intent

Enriched Pre-trained Transformers for Joint Slot Filling and Intent bert for joint intent classification and slot filling intent If a KG is a graph to represent the connections There 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 for joint intent classification and slot filling 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

free slot 777 And using Joint-BERT to classify the intent so they can be executed I have trained a Rasa NLU model for intent classification and entity intent: IMAGE_GENERATE, slots: {} } 复制代码 Classification and Slot Filling（ abs） 2、Joint BERT