bert for joint intent classification and slot filling
Joint Intent Classification and Slot Filling with Transformers
bert for joint intent classification and slot filling
website bert for joint intent classification and slot filling Conditioning the Transformer encoder on multiple target inferences over the same corpus, , intent and multiple slot types, allows learning bert slot Joint BERT uses BERT as the language encoder, using the token for intent classification and token embeddings for slot filling Co
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 The model employs pre-trained BERT to extract semantic features and utilizes semantic fusion to associate and integrate this information The ABSTRACT We describe a joint model for intent detection and slot filling based on convolutional neural networks The proposed
Unable to load receipt Availability
